Octave
Also known as: Octave HQ, OctaveHQ
Generative GTM context platform that turns your ICP, personas, and positioning into a structured brain, grounding AI messaging, playbooks, and other agents in your real strategy.
Octave is a generative go to market platform that positions itself as a GTM brain, the structured context layer that other tools and agents read to understand a company's strategy. Its founding premise is the context gap: a team's ideal customer profile, personas, positioning, messaging, and competitive angles usually live in decks, docs, and tribal knowledge with no structure, no API, and no single source of truth, so AI generated outreach ends up generic. Octave turns that strategy into living, queryable intelligence. Founded in 2022 in San Francisco and backed by an eight and a half million dollar raise led by Bonfire Ventures, it is aimed at RevOps, sales, marketing, and growth teams who want every motion to run on the same real time positioning.
Teams encode their strategy into a Library that Octave calls the brain's memory. You define Offerings (the products you sell) and Elements (personas, use cases, segments, reference customers, proof points, and competitors), then build Playbooks of targeted messaging for specific industries, events, and pain points. From this, Octave generates a full ICP matrix with a tailored narrative at every persona and segment intersection. The Library is persistent and evolving: it updates as positioning changes, and everything Octave generates draws from it, so messaging reflects real strategy rather than templated copy. Teams configure strategic parameters and show the system examples of their voice rather than filling in merge fields.
On top of the brain, agents do the work. A prospector agent researches and contextualizes accounts, a sequence agent generates unique personalized emails across hundreds of prospects, and fit scoring qualifies leads by value proposition match. Octave can also detect a market shift or competitor move, update positioning, and push new messaging everywhere automatically. Importantly, it is a strategy and context platform, not a lead database or enrichment tool: it does not provide verified emails, phone numbers, or buying signals, so it pairs with execution tools like Clay for data and delivery. A standout is its MCP server, which lets other agents query a company's live personas, messaging, and competitive intelligence rather than hardcoding it.
Octave publishes transparent, usage based pricing, paying for intelligence and work rather than seats, with metered credits for agents and analysis. A free Lite plan covers two workspaces, four agents, and one hundred credits; Core runs around one hundred forty nine dollars a month with twenty four agents and four thousand credits; Boost is four hundred ninety nine with forty eight agents and twenty thousand credits; and Turbo is nine hundred ninety nine with unlimited agents and sixty thousand credits. An Ultra tier adds enterprise APIs and GTM engineering support. The main watchout is the credit model: reviewers report credits running out quickly and steep jumps between tiers.
Vendor details
Canonical URL
https://www.octavehq.com
Category
GTM / revenue agent
Subcategory
Generative GTM context and messaging platform
Funding status
Independent, early stage. Octave Technologies, founded 2022 in San Francisco, has raised $8.4 million total, including a $5.5 million seed led by Bonfire Ventures with participation from Unusual Ventures, Bee Partners, and Craft Ventures.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Integrates with Salesforce, HubSpot, Gong, and Clay, and distributes its GTM context across the stack through a composable API, per workspace API keys, and an MCP server that other agents and tools can query. It is a context layer, not a data or enrichment provider.
In practice
Your AI outreach sounds generic because it runs on generic context. You encode your ICP, personas, and positioning into Octave, and every message it generates reflects how you actually sell, not templated copy.
Your positioning lives in a deck no agent can read. Octave's MCP server lets your Clay tables and other agents pull your live personas and competitive intel automatically, so context stays consistent across the stack.
A competitor makes a move mid quarter. Octave detects the shift, updates your positioning, and pushes refreshed messaging across your playbooks so the whole team speaks the same language.
Sources & related URLs
Related / legacy domains
Capability coverage
5.5 / 14 capabilities · 39%
| Integrations & Tool CallingIntegrates with Salesforce, HubSpot, Gong, and Clay and pushes messaging and context into the stack, solid integration, though the named integration set is moderate and its real distribution strength is via API and MCP. | Partial |
|---|---|
| Workflow OrchestrationOrchestrates GTM motions and playbooks through configurable agents that research, generate the ICP matrix, and run sequenced campaigns, and can detect a market shift and push updated messaging automatically, real orchestration, though scoped to messaging and context workflows. | Partial |
| Knowledge Grounding & RAGGrounding is the entire product: it encodes your ICP, personas, use cases, proof points, and competitive positioning into a structured, queryable GTM brain that grounds every agent output and serves that context to other tools, a comprehensive knowledge grounding capability. | Full |
| Human Oversight & GuardrailsExplicitly positioned as human in the loop: teams define and refine the GTM brain, configure strategic parameters, and review generated messaging, a real human oversight surface, though there is no runtime guardrail engine. | Partial |
| Security, Identity & GovernanceWorkspaces are isolated with their own settings and unique API keys, but no infosec certifications, SSO, or data governance controls are documented. | Unable to verify |
| Observability & AuditabilityProvides real time feedback on messaging effectiveness, but no documented agent execution tracing, audit logging, or comprehensive observability. | Unable to verify |
| Memory & State PersistenceThe Library is explicitly architected as the brain's memory, a persistent and evolving context layer that every agent reasons across and that updates as positioning changes, an operating memory beyond one shot retrieval, though not a per agent runtime state store. | Partial |
| Deployment & Data ResidencyDelivered only as a cloud SaaS platform with no self host, on premises, or in VPC deployment option documented. | Unable to verify |
| Prebuilt Agents, Templates & PacksShips configurable agents (prospector, sequence, and more) and a playbook system for building targeted messaging, plus structured GTM building blocks (personas, segments, motions), reusable building blocks, though defined per customer rather than an open marketplace. | Partial |
| Triggers & Channel CoverageRuns email sequences and detects market shifts, competitor moves, and launches that trigger messaging updates, some triggering, though it is single channel (email) and explicitly does not provide prospect level buying signals or enrichment. | Partial |
| Model Flexibility & RoutingLets users choose the AI model when configuring sequences, a real model flexibility option, though not a full routing gateway or bring your own key. | Partial |
| APIs, SDKs & MCP ExtensibilityOffers a composable API with per workspace keys, Enterprise APIs, and notably an MCP server that distributes its GTM context to other agents and tools like Clay, strong extensibility, though a formal SDK is not documented. | Partial |
| Testing, Debugging & OptimizationProvides real time feedback on messaging effectiveness so teams can iterate and optimize, with test configuration in sequences, a testing and optimization capability, though not a dedicated agent evaluation framework. | Partial |
| Browser & Computer UseIts agents research and contextualize accounts but it is explicitly not an enrichment or data tool, and no agent driven browser automation, LinkedIn automation, or general computer use is documented. | Unable to verify |
Pricing
Free Lite · Core ~$149/mo · Boost $499/mo · Turbo $999/mo · Ultra custom · credit + agent based (no per-seat)
Platform plus usage: tiered plans metered by AI agents and credits (for agents, analysis, enrichments); no per-seat charge
Included quota
Usage-based, no per-seat cost. Free Lite ($0): 2 workspaces, 2 offerings, 2 playbooks, 4 agents, 100 credits, community support (not time-limited). Core ~$149/mo: 24 agents, 4,000 credits, email + chat support. Boost $499/mo: 48 agents, 20,000 credits. Turbo $999/mo: unlimited agents, 60,000 credits, Slack support. Ultra (custom): premium integrations, enterprise APIs, custom credit limits, advanced agents, GTM engineering support, custom billing. Credits power agents, analysis, and enrichments. Integrates with Salesforce, HubSpot, Gong, Clay; MCP server and per-workspace API keys.
What is public
All self-serve tiers (Free, Core, Boost, Turbo) with agent and credit allotments are public; only Ultra is custom. Minor price variance across listings ($119-$149 for Core).
Billing mechanics
Platform + usage: tiered plans metered by agents and credits, no per-seat charge; Ultra custom.
Cost watchouts
Credits power agents/analysis/enrichments and deplete quickly; outgrowing a tier means a steep jump (Core $149 to Boost $499). Premium support is paywalled to higher tiers. You still need separate data/enrichment and delivery tools.
Variable cost rationale
Pricing is credit-metered (credits power agents, analysis, and enrichments) and reviewers report credits running out quickly, so heavy use forces credit purchases or steep tier upgrades (Core to Boost is roughly a 3x jump). Cost scales with agent activity and analysis volume rather than seats, making spend hard to predict for high-volume teams.
Additional watchouts
Credit model is the main watchout: credits run out fast and tier jumps are steep (Core to Boost ~3x). Premium support (Slack/GTM engineers) is gated to Turbo/Ultra. It is a context/strategy layer, not an enrichment or delivery tool, so a full stack needs additional tools.
Overage / add-ons
Credits power agents, analysis, and enrichments; when credits run out you buy more or upgrade a tier. Agent count and credits both scale by tier.
Sales call required
No — self-serve available
Free / trial
Free Lite plan ($0): 2 workspaces, 2 offerings, 2 playbooks, 4 agents, 100 credits, community support; not time-limited.
Lowest paid plan
Core at ~$149/month (24 agents, 4,000 credits, email + chat support)
Commercial notes
Differentiated 'no per-seat' model (free collaboration). Positioned as the GTM context/brain layer that grounds other agents; best fit for funded scale-ups and GTM teams with budget, less so for bootstrapped SMBs given the credit curve.
Key ambiguities
Exact Core price varies by listing ($119-$149); real cost depends heavily on credit consumption, which reviewers say is fast.
Cancellation / refund
Free Lite is not time-limited; paid tiers are monthly self-serve. Specific cancellation/refund terms not detailed.
Support SLA / resale
Free: community. Core/Boost: email + chat. Turbo: Slack. Ultra: dedicated GTM engineering support.
Missing data
Exact Core price varies ($119-$149); per-credit costs and Ultra pricing are not fully detailed.
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