Hunt FAQ

Hunt is an AI-powered outbound sales co-pilot. It helps small B2B sales teams run outbound at the volume and quality of a much larger team.

Here's how it works:

1. Identify prospects: AI matches your Ideal Customer Profile (ICP), detects signals (funding, job changes, tech stack changes)
2. Research prospects: AI generates context-rich prospect profiles (company info, recent news, pain points)
3. Generate outreach: AI drafts personalized emails, LinkedIn messages, call scripts — grounded in your brand voice and product context
4. Manage cadences: Multi-step, multi-channel sequences with intelligent timing
5. Human review: Every outbound message requires human approval before sending

The key difference from other outbound tools: self-hosted, human-in-the-loop, suite-integrated. Your prospect data stays on your infrastructure, and no message goes out without human approval.

Small B2B sales teams face compounding challenges:

• Volume vs. quality: Outbound at scale demands personalization, but personalization at scale without AI is impossible for small teams
• Tool sprawl: Teams cobble together 5-8 tools (list building, enrichment, sequencing, CRM, analytics) with brittle integrations
• Data sovereignty risk: Most outbound tools require sending prospect PII and CRM data to their cloud — creating compliance exposure
• Compliance complexity: CAN-SPAM, GDPR, LinkedIn ToS are difficult to enforce manually at scale
• Lack of pipeline integration: Outbound tools operate in isolation from the rest of the revenue pipeline

Hunt solves this by providing self-hosted, human-in-the-loop outbound automation with native pipeline integration.

Hunt is designed for small B2B sales teams (2-10 reps), particularly in regulated industries:

• SaaS companies: Selling to other businesses
• Professional services: Consulting, agencies, legal, accounting
• Manufacturing: B2B industrial sales
• Healthcare IT: Selling to hospitals, clinics
• Financial services: Selling to banks, fintech, insurance
• Any B2B company: That needs to run outbound but can't afford a large sales team

If you're a small sales team trying to punch above your weight, Hunt is for you.

Apollo and Clay are cloud-based outbound tools. Hunt is a self-hosted, human-in-the-loop outbound co-pilot.

If you need data sovereignty and human oversight, Hunt is the better choice.

"Human-in-the-loop" means no outbound message is sent without human approval:

• AI drafts: AI generates personalized emails, LinkedIn messages, call scripts
• Human reviews: Every message goes through a review queue
• Human approves: A human must approve before the message is sent
• Audit trail: All AI generations and human modifications are logged

This is configurable by trust level:

• Full review: Every message requires approval (default for new users)
• Spot-check: Sample review (e.g., 20% of messages)
• Auto-send: For proven templates (after you've built trust)

Hunt is both:

• Standalone: You can use Hunt by itself for outbound sales
• Suite-integrated: Hunt is part of the ODW.ai suite and integrates with other modules:
  • Vault: Brand voice, product positioning, case studies, objection handlers — Hunt uses Vault as grounding context for all generated outreach
  • Loop: Pipeline automation — Hunt feeds qualified prospects and booked meetings into Loop for deal progression
  • Shield: Governance, audit logging, compliance reporting

The suite integration is what makes Hunt powerful — outreach is grounded in your actual knowledge base, and prospects flow seamlessly into your pipeline.

"Sovereign" means full control over prospect and CRM data:

• Data location: All prospect lists, CRM records, and outreach content stay on your infrastructure
• Processing: All AI processing happens on your infrastructure (or your chosen cloud)
• No external dependencies: No prospect PII sent to third parties (unless you choose to use their APIs)
• Auditability: You can inspect the code, logs, and data flows

This is critical for regulated industries. You can't claim data sovereignty if your outbound tool is sending prospect PII to a cloud vendor.

For deployment: Yes. Hunt is self-hosted, so you need someone who can manage Docker/Kubernetes, configure networking, and monitor infrastructure.

For day-to-day use: No. The web UI is designed for non-technical users (sales reps, sales managers). You can build prospect lists, generate outreach, manage cadences, and review messages without writing code.

For developers: Hunt provides a REST API and SDKs for custom integrations.

Hunt provides deliverability best practices:

• Domain reputation monitoring: Track your domain's sender reputation
• Warm-up guidance: Gradually increase sending volume to build reputation
• Sending limits: Configurable daily caps to avoid spam filters
• Bounce handling: Automatically remove bounced emails from sequences
• Spam complaint tracking: Monitor and respond to spam complaints
• Timezone-aware sending: Send emails at optimal times for each prospect

Target: >98% deliverability rate, <2% bounce rate, <0.1% spam complaint rate.

Hunt provides AI-powered prospect identification:

• ICP matching: Define your Ideal Customer Profile (industry, company size, role, etc.) — Hunt matches prospects
• Signal detection: Detect buying signals (funding events, job changes, tech stack changes, content publication, hiring)
• List import: Import prospect lists from CSV, CRM sync, or manual entry
• Enrichment: Automatically enrich prospect data (company info, contact details, recent news)

Hunt doesn't provide prospect data itself — you bring your own data sources (or use integrations with data providers).

Hunt uses Vault-grounded personalization:

1. Prospect research: AI generates context-rich prospect profiles (company info, recent news, pain points)
2. Brand voice: Hunt uses your brand voice from Vault (tone, messaging pillars, dos/don'ts)
3. Product context: Hunt uses your product positioning, case studies, objection handlers from Vault
4. AI generation: AI drafts personalized emails, LinkedIn messages, call scripts

Example: If a prospect's company just raised Series B, Hunt might draft: "Congrats on the Series B! As you scale your sales team, you might be facing [pain point]. We helped [similar company] achieve [result]."

Yes. Hunt provides multi-step, multi-channel cadences:

• Email sequences: Cold email, warm follow-up, breakup email
• LinkedIn touches: Connection request, message after connection
• Call tasks: Reminders to call prospects
• Configurable timing: Set intervals between steps (e.g., Day 1: email, Day 3: LinkedIn, Day 7: follow-up email)
• Stop conditions: Automatically stop when prospect replies, bounces, or converts

You can create templates for common cadences (e.g., "7-day cold outreach", "30-day nurture") or build custom cadences.

Yes. Hunt supports A/B testing:

• Multi-variant generation: Generate multiple variants of the same message (different subject lines, different angles)
• Automatic splitting: Hunt automatically splits prospects across variants
• Performance tracking: Track reply rates, conversion rates for each variant
• Winner selection: Automatically shift to the best-performing variant

This is useful for optimizing subject lines, messaging angles, and CTAs.

Yes, but with important limitations:

• Drafts only: Hunt generates LinkedIn message drafts, but you must send them manually
• Why? LinkedIn's Terms of Service prohibit automated sending. Violating ToS can get your account banned.
• Workflow: Hunt generates the draft → you copy/paste into LinkedIn → send manually

This is a compliance-first design. We prioritize protecting your LinkedIn account over automation convenience.

Yes. Hunt provides call script generation:

• Talk tracks: Opening, value proposition, qualifying questions, objection handlers, closing
• Prospect-specific: Scripts are personalized based on prospect research
• Objection handlers: Pre-built responses to common objections (too expensive, not interested, send me an email, etc.)
• Vault-grounded: Scripts use your product positioning and case studies from Vault

Call scripts are a guide, not a script to read verbatim. Use them to structure your conversation.

Yes. Hunt provides batch review:

• Review queue: All AI-drafted messages go to a review queue
• Batch approval: Review and approve multiple messages at once
• Filters: Filter by campaign, prospect, message type, etc.
• Edit inline: Make changes to individual messages before approving

Batch review saves time — you can review 50 messages in 10 minutes instead of reviewing each individually.

Yes. Hunt provides configurable trust levels:

• Full review: Every message requires approval (default for new users)
• Spot-check: Sample review (e.g., 20% of messages)
• Auto-send: For proven templates (after you've built trust)
• Per-campaign: Different trust levels for different campaigns

Start with full review, then gradually increase trust as you build confidence in the AI's output quality.

Hunt competes on sovereignty + human oversight + pipeline integration. If you need data control and compliance, Hunt is the best option.

Hunt automates the administrative burden of outbound:

• Prospect research: AI generates context-rich profiles in seconds (vs. 15-30 minutes of manual research per prospect)
• Personalization: AI drafts personalized messages (vs. 10-20 minutes of manual writing per message)
• Cadence management: Automated follow-ups (vs. manual tracking in spreadsheets)
• Reply detection: Automatic sequence pause on reply (vs. manual monitoring)

A 3-person team using Hunt can:

• Research 100 prospects/day (vs. 10-20/day manually)
• Generate 100 personalized messages/day (vs. 10-20/day manually)
• Manage 500+ active cadences (vs. 50-100 manually)

Hunt maintains quality through multiple mechanisms:

• Vault grounding: All messages are grounded in your brand voice, product context, and case studies
• Prospect research: Messages are personalized based on prospect-specific context
• Human review: Every message is reviewed by a human before sending
• Feedback loop: Your edits improve future AI output
• Quality metrics: Track reply rates, conversion rates, spam complaints

Target: >5% positive reply rate for cold outreach, >15% for warm outreach.

Yes, but with quality guardrails:

• Sending limits: Configurable daily caps to protect sender reputation
• Warm-up: Gradually increase sending volume to build reputation
• Deliverability monitoring: Track bounce rates, spam complaints, domain reputation
• Scalable infrastructure: Kubernetes-based deployment scales horizontally

Hunt optimizes for deliverability and reply rate, not raw volume. High volume without quality destroys sender reputation.

Yes. Hunt supports inbound lead follow-up:

• Lead import: Import inbound leads from your website, forms, events
• Quick response: Generate personalized follow-up emails within minutes of lead capture
• Nurture cadences: Multi-step sequences to nurture leads who aren't ready to buy
• Qualification: AI-assisted lead qualification (BANT, MEDDIC, etc.)

Hunt is primarily designed for outbound, but it works well for inbound follow-up too.

Yes. Hunt supports CRM integrations:

• HubSpot: Bidirectional sync (prospects, activities, deals)
• Salesforce: Bidirectional sync
• Custom: API-based integration with other CRMs

CRM integration ensures your prospect data, activities, and deals are synchronized across systems.

Not in v1.0. Multi-language outreach is planned for v1.1 (Q4 2026).

In v1.0, Hunt focuses on English-only outreach.

If you need multi-language outreach before v1.1, contact us — we may be able to provide early access or a workaround using Pulse (our multilingual content generation tool).

No. Hunt is designed to augment your SDR team, not replace it.

Hunt automates administrative tasks (research, personalization, cadence management), freeing your SDRs to focus on:

• Human judgment: Qualifying prospects, building relationships
• Complex conversations: Handling objections, negotiating
• Strategy: ICP refinement, messaging optimization

Hunt makes your SDR team more efficient — it doesn't replace the human element that's critical to good sales.

Yes. Hunt enforces CAN-SPAM compliance:

• Physical address: All emails include your physical mailing address (required by CAN-SPAM)
• Unsubscribe: All emails include a one-click unsubscribe link
• Opt-out handling: Automatically honor unsubscribe requests
• No deceptive subject lines: Hunt flags misleading subject lines

Hunt makes it easy to comply with CAN-SPAM — the requirements are built into the system.

Yes. Hunt is GDPR-compatible:

• Consent tracking: Track prospect consent for outreach
• Suppression lists: Automatically suppress prospects who've opted out
• Data residency: All prospect data stays on your infrastructure
• Right to erasure: Delete prospect data on request
• Legitimate interest: Document legitimate interest basis for outreach

Hunt helps you meet the technical and organizational measures required by GDPR. You still need to address legal and procedural requirements separately.

Yes. Hunt is designed for LinkedIn ToS compliance:

• Drafts only: Hunt generates LinkedIn message drafts, but you must send them manually
• No automation: Hunt doesn't automatically send LinkedIn messages, connection requests, or endorsements
• ToS guardrails: Hunt warns you if you're approaching LinkedIn's sending limits

This is a compliance-first design. We prioritize protecting your LinkedIn account over automation convenience.

Hunt provides domain reputation protection:

• Warm-up guidance: Gradually increase sending volume to build reputation
• Sending limits: Configurable daily caps (e.g., 50 emails/day per mailbox)
• Bounce handling: Automatically remove bounced emails from sequences
• Spam complaint tracking: Monitor and respond to spam complaints
• Reputation monitoring: Track your domain's sender reputation

Target: >98% deliverability rate, <2% bounce rate, <0.1% spam complaint rate.

Yes. Hunt supports multiple sending domains:

• Domain rotation: Rotate across multiple domains to distribute load
• Mailbox rotation: Rotate across multiple mailboxes per domain
• Per-campaign domains: Use different domains for different campaigns

Using multiple domains reduces the risk of any single domain being blacklisted.

Yes. Hunt provides email tracking:

• Open tracking: Track when prospects open your emails
• Click tracking: Track when prospects click links in your emails
• Reply tracking: Track when prospects reply
• Bounce tracking: Track when emails bounce

Tracking data is used to optimize cadences (e.g., pause sequence if prospect opens but doesn't reply).

Yes. Hunt provides suppression lists:

• Opt-out list: Prospects who've unsubscribed
• Do-not-contact list: Prospects you don't want to contact (e.g., existing customers, competitors)
• Global suppression: Suppress across all campaigns
• Campaign-specific suppression: Suppress for specific campaigns

Suppression lists ensure you don't accidentally contact prospects you shouldn't.

Yes. Hunt provides compliance report exports:

• Formats: PDF, JSON, CSV
• Content: All outreach activities, consent tracking, opt-outs, bounces, spam complaints
• Audit trail: All AI generations and human modifications are logged

When an auditor or legal counsel asks for documentation, you can generate a complete report in minutes.

Yes. Hunt is built with security best practices:

• Self-hosted: All prospect data stays on your infrastructure
• Encryption: AES-256 at rest, TLS 1.3 in transit
• Access control: RBAC, SSO (via Shield integration)
• Audit logging: Tamper-evident logs of all access (via Shield)
• Open source: Code is auditable — you can verify there are no backdoors or data exfiltration

Hunt is designed for regulated industries. If you can use Hunt, you can pass a compliance audit.

No. Hunt is self-hosted on your infrastructure. ODW.ai has zero access to your prospect data.

Unlike cloud-based outbound tools (Apollo, Clay), Hunt doesn't send prospect PII to a third party. Everything stays on your servers.

This is critical for regulated industries. You can't claim data sovereignty if your outbound tool is sending prospect PII to a cloud vendor.

Yes. Hunt supports air-gapped deployment (no internet access):

• Offline installation: Install Hunt without internet access
• Local models: All AI models run on your device — no API calls to external services
• No external dependencies: Hunt doesn't require internet access for core functionality

Air-gapped deployment is common for government contractors, military, and high-security environments.

Yes. Hunt provides role-based access control (via Shield integration):

• Admin: Full access — configure settings, manage users, view all data
• Sales rep: Access to assigned prospects and campaigns
• Sales manager: Access to team prospects and campaigns
• Viewer: Read-only access

You can also set per-campaign permissions (e.g., only the assigned rep can see prospects for a specific campaign).

Yes. Hunt provides audit logging (via Shield integration):

• Who: Which user accessed the data
• What: Which prospect data was accessed
• When: Timestamp
• Why: Reason for access (if required)

All audit logs are tamper-evident and can be exported for compliance purposes.

Hunt provides access control and alerting:

• Access control: Role-based access prevents unauthorized access
• Alerting: Get notified of unauthorized access attempts
• Audit trail: All access is logged (including blocked attempts)
• Investigation: Use audit logs to investigate incidents

For critical incidents, you can generate a full audit report for regulators or legal counsel.

Yes. Hunt's core is open source:

• Transparent: All code is publicly available on GitHub
• Auditable: You (or your security team) can inspect the code for vulnerabilities, backdoors, or data exfiltration
• Verifiable: You can verify that Hunt does what it claims — no hidden telemetry, no data sent to third parties

This is critical for sovereignty-focused organizations. You should be able to verify what your outbound tools are doing.

Hunt is HIPAA-compatible for healthcare sales:

• On-premise processing: Prospect data stays on your infrastructure
• Encryption: AES-256 encryption for local storage
• Access control: Password protection, role-based access
• Audit logging: Tamper-evident logs of all access

Hunt helps you meet the technical safeguards required by HIPAA. You still need to address administrative and physical safeguards separately.

Hunt is model-agnostic — it supports a wide range of models:

• Local models: Llama 3, Mistral, Gemma, Qwen (via Ollama, vLLM, llama.cpp)
• API-based models: OpenAI (GPT-4o, GPT-4o-mini), Anthropic (Claude 3.5 Sonnet), Google (Gemini 1.5 Pro), Mistral API
• Custom: Any model that exposes an OpenAI-compatible API

You can switch models at any time — no code changes required.

Yes. Hunt supports local models via:

• Ollama: Easiest way to run local models. Supports Llama 3, Mistral, Gemma, etc.
• vLLM: High-performance inference server for production workloads
• llama.cpp: Lightweight, CPU-friendly inference (good for edge devices)

Local models run on your own hardware — no data leaves your infrastructure. Full sovereignty.

Yes. Hunt supports API-based models:

• OpenAI: GPT-4o, GPT-4o-mini
• Anthropic: Claude 3.5 Sonnet, Claude 3 Opus
• Google: Gemini 1.5 Pro
• Mistral: Mistral Large, Mistral Medium
• Custom: Any model that exposes an OpenAI-compatible API

API-based models are useful when you need frontier capabilities (e.g., complex reasoning, long context windows) that local models can't match yet.

Choosing a model depends on your priorities:

Recommendation:

• Maximum sovereignty: Use Llama 3 8B or 70B (local, free)
• Maximum quality: Use GPT-4o or Claude 3.5 Sonnet (API, paid)
• Balanced: Use Llama 3 8B for routine tasks, GPT-4o-mini for complex reasoning

Yes. Hunt is model-agnostic — you can switch models at any time:

• No code changes: Just update the model configuration in the admin console
• Per-task: Use different models for different tasks (e.g., small model for prospect research, large model for message generation)

This future-proofs your investment — when better models are released, you can adopt them immediately without re-architecting your system.

Not in Hunt v1.0. Hunt uses existing models — it doesn't support fine-tuning.

However, you can:

• Use prompt engineering: Customize prompts to guide the model's behavior (e.g., "Focus on ROI for CFO personas")
• Use Vault: Ground AI in your brand voice, product positioning, case studies
• Fine-tune externally: Fine-tune a model outside of Hunt (using tools like Hugging Face Transformers), then use the fine-tuned model in Hunt via a custom endpoint

Fine-tuning support is planned for v2.0 (Q2 2027).

No. Hunt is designed so that no outreach is sent without human approval (by default).

This is a quality-first design. Hunt literally cannot:

• Auto-send emails without approval (unless you explicitly enable auto-send for proven templates)
• Auto-send LinkedIn messages (drafts only, manual sending)

All outreach requires human approval. AI assists; humans decide.

Hunt offers three deployment options:

1. Docker Compose: Easiest. One command (docker-compose up) and you're running. Best for development and small deployments.
2. Kubernetes (Helm): Production-ready. Helm chart provided. Best for large deployments, high availability, auto-scaling.
3. Bare metal: For advanced users. Install directly on Linux servers. Maximum control, but requires more setup.

For most customers, Docker Compose is the fastest path. For production, we recommend Kubernetes.

Setup time depends on your deployment:

• Docker Compose: 30 minutes. Pull images, configure environment variables, run docker-compose up.
• Kubernetes: 2-4 hours. Deploy Helm chart, configure ingress, set up storage, test.
• Bare metal: 1-2 days. Install dependencies, configure services, test.

After deployment, you need to:

• Configure your email provider (Google Workspace, Microsoft 365, SMTP)
• Import your first prospect list
• Create your first campaign

Target: <2 hours from signup to first campaign launched.

For deployment: Yes. Hunt is self-hosted, so you need someone who can manage Docker/Kubernetes, configure networking, and monitor infrastructure.

For day-to-day use: No. The web UI is designed for non-technical users (sales reps, sales managers). You can build prospect lists, generate outreach, manage cadences, and review messages without writing code.

For developers: Hunt provides a REST API and SDKs for custom integrations.

Hunt's requirements depend on your deployment:

If you use API-based models (OpenAI, Anthropic), you don't need a GPU. If you use local models, GPU is strongly recommended.

Yes. Hunt can be deployed on any cloud provider:

• AWS: Use EC2 (for Docker Compose) or EKS (for Kubernetes)
• GCP: Use GCE (for Docker Compose) or GKE (for Kubernetes)
• Azure: Use VMs (for Docker Compose) or AKS (for Kubernetes)

We provide deployment guides for each cloud provider. For production, we recommend Kubernetes with managed databases.

Yes. Hunt supports outbound tool migration:

• Import prospects: Import prospect lists from Apollo, Clay, Outreach, etc.
• Import campaigns: Import active campaigns and cadences
• Import templates: Import email templates and messaging frameworks
• Migration guides: Step-by-step guides for common outbound tools

Migration typically takes 1-2 days depending on data volume and complexity.

Yes. Hunt includes a sandbox mode:

• Test environment: Deploy Hunt in a test environment with sample data
• Experiment: Test different workflows, integrations, and configurations
• Evaluate: Measure quality, latency, and compliance before going live

We recommend spending 1-2 days testing in sandbox mode before deploying to production.

For Docker Compose: Pull the new image, restart containers.

For Kubernetes: Update the Helm chart, rolling update.

For bare metal: Follow the upgrade guide in the documentation.

Total update time: <10 minutes (for Docker/Kubernetes).

Hunt pricing is based on features and deployment:

Additional costs:

• API costs: If you use API-based models (OpenAI, Anthropic), you pay the API provider directly
• Infrastructure: You pay for your own servers/cloud (if self-hosting)
• Data providers: If you use prospect data providers (ZoomInfo, Clearbit), you pay them directly

It depends. Apollo costs $59-$119/user/month. Clay costs $149-$349/user/month.

Hunt costs $149-$699/month (unlimited users for Enterprise). For a 3-person team:

• Apollo: $177-$357/month (3 users)
• Clay: $447-$1,047/month (3 users)
• Hunt Enterprise: $399-$699/month (unlimited users)

For teams of 3+, Hunt is comparable or cheaper — and you get data sovereignty and human oversight.

However, Hunt requires you to manage your own infrastructure. If you factor in infrastructure costs, the total cost of ownership may be higher.

No hidden costs. The total cost of ownership includes:

• Hunt subscription: Monthly fee based on tier
• API costs: If you use API-based models (OpenAI, Anthropic), you pay the API provider directly
• Infrastructure: You pay for your own servers/cloud (if self-hosting)
• Data providers: If you use prospect data providers, you pay them directly

That's it. No setup fees, no surprise charges, no per-prospect fees.

We accept:

• Credit/debit cards: Visa, Mastercard, American Express (via Stripe)
• Bank transfer: For annual subscriptions or enterprise customers
• Cryptocurrency: Bitcoin, Ethereum, USDC (for privacy-conscious customers)

Invoicing is available for annual subscriptions. Contact us for details.

Yes. We offer a 30-day money-back guarantee. If you're not satisfied within the first 30 days, contact us for a full refund — no questions asked.

After 30 days, you can cancel anytime. You'll continue to have access until the end of your billing period, but no refund is provided for partial months.

Yes. Hunt is part of the ODW.ai suite. You can:

• Purchase Hunt standalone: Use Hunt by itself
• Purchase the full suite: Get Desk, Voice, Vault, Hunt, Shield, and other modules at a discounted price

The suite bundle includes Hunt at a 20-30% discount compared to purchasing separately. And all modules integrate natively — Hunt uses Vault for knowledge grounding, Loop for pipeline automation, Shield for governance.

Neither. Hunt pricing is unlimited — no per-user or per-prospect fees.

You pay a flat monthly fee based on your tier (Pro or Enterprise). Manage as many prospects and users as you want.

The only variable costs are:

• API costs: If you use API-based models
• Data provider costs: If you use prospect data providers

Hunt can handle unlimited prospects:

• No prospect limit: Manage as many as you want
• No campaign limit: Run as many campaigns as you want
• Scalable infrastructure: Kubernetes-based deployment scales horizontally

For high-volume outbound (10,000+ prospects), we recommend:

• Kubernetes: For auto-scaling and high availability
• Managed database: RDS, Cloud SQL, or Azure SQL
• Load balancer: Distribute traffic across replicas

Hunt supports unlimited users:

• Pro tier: 3 users
• Enterprise tier: Unlimited users

Hunt scales horizontally — add more nodes to handle more concurrent users. Typical deployments support 50-200 concurrent users per node.

If Hunt goes down, outbound operations are unavailable, but your data is safe:

• Data storage: All data is stored in your database (PostgreSQL) — not lost
• Recovery: Restart Hunt, and it reconnects to your database
• High availability: For production, deploy Hunt with multiple replicas (Kubernetes)

For high-availability deployments, we recommend:

• Kubernetes: 3+ replicas across availability zones
• Managed database: RDS, Cloud SQL, or Azure SQL (99.9% uptime SLA)
• Load balancer: Distribute traffic across replicas

Hunt includes a monitoring dashboard:

• System health: CPU, memory, disk, network usage
• Outbound metrics: Number of prospects, campaigns, messages sent, reply rates
• Deliverability metrics: Bounce rates, spam complaints, domain reputation
• Model metrics: API costs, token usage, model latency

You can also export metrics to external monitoring tools (Prometheus, Grafana, Datadog) via standard protocols.

Hunt data is stored in PostgreSQL. Back up using standard PostgreSQL tools:

• Automated backups: Configure daily backups via pg_dump or WAL archiving
• Off-site storage: Store backups in a different location (e.g., S3, GCS, off-site server)
• Test restores: Periodically test restoring from backups to ensure they work

Hunt provides backup guides and scripts for common deployment modes (Docker, Kubernetes, on-premises).

Yes. Hunt supports multi-tenancy:

• Multiple brands: Create separate workspaces for each brand
• Multiple clients: For agencies, create separate workspaces for each client
• Isolation: Each workspace has its own prospects, campaigns, and settings

This is useful for agencies managing multiple client outbound, or enterprises with multiple product lines.

Hunt is designed to be intuitive, but we provide training resources:

• Documentation: Comprehensive user guides for admins and sales reps
• Video tutorials: Step-by-step walkthroughs of key features
• Onboarding session: For paid customers, we offer a 1-hour onboarding session (remote)
• Support: Priority support for Enterprise customers

Most teams are productive within 1-2 hours of training. The web UI is particularly intuitive — no technical skills required for sales reps.

Hunt integrates natively with all ODW.ai products:

• Vault: Brand voice, product positioning, case studies, objection handlers — Hunt uses Vault as grounding context for all generated outreach
• Loop: Pipeline automation — Hunt feeds qualified prospects and booked meetings into Loop for deal progression
• Shield: Governance, audit logging, compliance reporting

If you're using the ODW.ai suite, Hunt integration is automatic — no separate configuration required.

Yes. Hunt provides a REST API for programmatic access:

• Prospect management: Create, update, retrieve prospects via API
• Campaign management: Create, update campaigns via API
• Message generation: Generate outreach via API
• Webhooks: Get notified when prospects reply, bounce, convert, etc.

The API is fully documented (OpenAPI/Swagger) and supports authentication via API keys or OAuth 2.0.

Yes. Hunt supports email provider integrations:

• Google Workspace: Gmail
• Microsoft 365: Outlook
• SMTP: Any SMTP server

Email integration enables Hunt to send emails on your behalf (with human approval).

Yes. Hunt supports CRM integrations:

• HubSpot: Bidirectional sync (prospects, activities, deals)
• Salesforce: Bidirectional sync
• Custom: API-based integration with other CRMs

CRM integration ensures your prospect data, activities, and deals are synchronized across systems.

Yes. Hunt supports prospect data provider integrations:

• ZoomInfo: Import prospect data
• Clearbit: Import prospect data
• Apollo: Import prospect data
• Custom: API-based integration with other data providers

Hunt doesn't provide prospect data itself — you bring your own data sources (or use integrations with data providers).

Yes. Hunt supports calendar integrations:

• Google Workspace: Google Calendar
• Microsoft 365: Outlook Calendar
• CalDAV: Any CalDAV-compatible calendar

Calendar integration enables automated meeting scheduling — when a prospect replies "let's schedule a call," Hunt can automatically send a scheduling link.

Yes. Hunt can be used with existing AI tools:

• LangChain: Use Hunt as an outbound tool in LangChain pipelines
• LlamaIndex: Use Hunt as an outbound tool in LlamaIndex pipelines
• Custom RAG: Use Hunt's API in your custom pipelines

Hunt is designed to be an outbound layer — it provides outbound automation, and you can use any AI tool for other tasks.

Hunt is powerful, but it has limitations in v1.0:

• No autonomous sending: Hunt requires human approval for all outbound (by default)
• No LinkedIn automation: LinkedIn messages are drafts only (manual sending required for ToS compliance)
• No multi-language: English-only outreach in v1.0
• No prospect data: Hunt doesn't provide prospect data — you bring your own
• No native mobile app: Web-responsive design only for v1.0
• No predictive analytics: No AI-powered deal forecasting or pipeline health predictions

Yes. Multi-language support is planned for v1.1 (Q4 2026):

• Spanish
• French
• German
• Chinese (Mandarin)
• Japanese
• And more

This is a high-priority feature for global sales teams.

Not in the current roadmap. Hunt is designed to be a bring-your-own-data tool.

We believe this is the right architecture for sovereignty-focused customers — you control your data sources, not us.

If you need prospect data, use integrations with data providers (ZoomInfo, Clearbit, Apollo) or bring your own lists.

Key milestones:

• v1.0 (Q3 2026): MVP launch. Self-hosted, human-in-the-loop, suite integration, deliverability focus.
• v1.1 (Q4 2026): Multi-language outreach, advanced A/B testing, predictive analytics.
• v1.2 (Q1 2027): Advanced signal detection, intent data integration, mobile apps.
• v2.0 (Q2 2027): Model fine-tuning, advanced fairness testing, white-label/OEM licensing.

Roadmap is subject to change based on customer feedback. Contact us for the latest roadmap or to request features.

Hunt is not the right fit if:

• You don't have compliance requirements: If you don't care about data sovereignty or human oversight, cloud-based tools (Apollo, Clay) are easier (no infrastructure to manage).
• You need autonomous sending: If you want AI to send emails without human review, Hunt is not for you (by design).
• You need LinkedIn automation: If you need automated LinkedIn sending, Hunt is not for you (ToS compliance).
• You need prospect data: If you need Hunt to provide prospect data, it's not for you (bring-your-own-data).
• You need mobile apps: Hunt is web-responsive only in v1.0. If you need native mobile apps, wait for v1.2.

No. No tool can guarantee reply rates — they depend on many factors (ICP fit, messaging quality, timing, market conditions).

Hunt helps you optimize reply rates through:

• Personalization: AI-drafted, Vault-grounded outreach
• Deliverability: Best practices to avoid spam filters
• A/B testing: Optimize subject lines, messaging angles
• Human review: Quality control before sending

Target: >5% positive reply rate for cold outreach, >15% for warm outreach. But results vary by use case.

No. Hunt is designed to augment your SDR team, not replace it.

Hunt automates administrative tasks (research, personalization, cadence management), freeing your SDRs to focus on:

• Human judgment: Qualifying prospects, building relationships
• Complex conversations: Handling objections, negotiating
• Strategy: ICP refinement, messaging optimization

Hunt makes your SDR team more efficient — it doesn't replace the human element that's critical to good sales.

Three paths:

1. Free trial: Download Hunt and deploy it yourself. No credit card required. Try it with your outbound process and see if it works for your use case.
2. Demo: Book a demo with our team. We'll walk you through Hunt, answer your questions, and help you evaluate if it's right for your business.
3. Contact sales: For enterprise customers or suite bundles, contact our sales team for a tailored quote.