Built on top of a strong open source base and developed in-house. A harness and an LLM work in tandem. The training corpus is a decade of real campaigns from 1,000+ B2B brands across the CIENCE and Tenbound archives.
Microsoft Uber Google Okta Airbnb Shutterstock Foundation models are bottlenecked by their training data. The public web teaches them prose. octa is trained on real GTM outcomes.
Continuous campaign telemetry from 2015 onward. Multi-region, multi-industry, multi-channel.
Real B2B accounts across SaaS, finance, healthcare, manufacturing, media, and public sector.
Email, voice, SMS, social, chat, and landing pages. Every variant logged with the outcome it earned.
Qualified replies labeled with the why behind every conversion and disqualification.
GPT-5, Claude, Gemini are excellent at prose. They are not built for GTM. They have never watched a rep handle a real objection, seen which follow-up turns a reply into a meeting, or learned the cadence that beats the alternative in a specific segment.
octa is built the other way around. The model starts from real campaign outcomes, then learns to reason and write on top of that.
A decade of CIENCE campaigns and years of Tenbound research generated the raw signal. Capchase contributed both archives into graph8 in 2025. graph8 is turning the combined corpus into octa.
Outbound campaign service launches. Day one: log every touch, reply, meeting set, and disqualification reason.
Daily CIENCE campaigns across SaaS, finance, healthcare, manufacturing, and public sector.
AI sales platform ships with the harness, agents, and integrations. octa is on the roadmap.
David Dulany joins graph8 with GTM research, sales development frameworks, and category expertise built at Tenbound.
Capchase joins as a shareholder and contributes both the CIENCE and Tenbound campaign archives into the company.
Pretraining starts on top of a strong open source base, using the combined CIENCE and Tenbound corpus.
Three model sizes in development: low-latency drafting, balanced agentic execution, and deep reasoning.
Real campaign events come in. Human reps tag the why. octa retrains. octa Bench scores. New weights ship to every customer org.
Every campaign event flows in: sends, opens, replies, calls, meetings, deal stages, sessions, and form submits.
Human SDRs and AEs tag the why: which lines worked, which objections killed the deal, which page variant converted.
Start with a strong open source base model. Run a large-scale continued pre-training pass on the GTM corpus.
Rollouts of realistic GTM tasks: write the next message, plan the sequence, qualify the reply, and generate the page.
octa Bench replays held-out historical campaigns. New weights ship to every graph8 org. Outcomes feed back into the corpus.
The day a customer turns on graph8, their campaigns start contributing to octa's training. Objections raised this week become labels for next week's fine-tune.
Static prompts decay. octa compounds.
Campaign
Reply
Label
Retrain
Same training corpus, three deployment shapes. Latency matters in the inbox. Reasoning matters in the deal review.
Small, fast, always-on. Drafts emails, fills sequence variables, and scores reply intent in milliseconds inside the inbox and dialer.
The default workhorse. Plans sequences, qualifies replies, generates landing pages, writes follow-ups, and books meetings.
For complex GTM work: account-level strategy, multi-channel orchestration, objection handling, and deal-stage forecasting.
Five short slides on the work in progress: strong open source base, continued pre-training, long-horizon RL, internal benchmark, ship.
octa is being built around three goals: real domain knowledge, the ability to run hard GTM tasks to a booked meeting or generated landing page, and evaluation on realistic motions our customers run every day.
We run a large-scale continued pre-training phase on the CIENCE corpus and live graph8 telemetry to push the model toward the specific work it will do inside GTM teams.
Long-horizon reinforcement learning collects realistic GTM problems, runs many rollouts per problem, scores them on real outcomes, and updates toward winners.
Public LLM benchmarks measure trivia and code puzzles. octa Bench is built from anonymized real queries pulled from the corpus.
The first model sizes target fast drafting, balanced agentic execution, and deep reasoning. We will publish numbers when they survive evaluation.
We will not publish benchmarks we have not earned. Internal evaluations show measurable lift over the base open source LLM on GTM tasks.
Optimize measured lift on held-out campaigns from real industries, personas, and channels.
Convert inbound interest into calendar invites. The next three lines after a positive reply are where many teams lose the meeting.
Route fit vs. non-fit replies against ICP, budget, timing, and authority before a human spends a minute.
Generate pages that convert clicks into pipeline: layout, headline, form, and proof.
Same input, different upbringing. Generic LLMs read the public web. octa learns from a decade of campaigns.
octa picks the opener that this persona actually replied to in historical campaigns. Generic LLMs write plausible prose with no link to reply rate.
octa recognizes the objection pattern and drafts the response that reopened similar conversations. Generic LLMs apologize generically.
octa knows which cadence beat the alternative in this segment and which channel to switch to mid-sequence.
octa generates the layout, headline, form, and proof block grounded in what converted for similar offers.
octa is not a single chat model wrapped in a prompt. Each GTM job has its own head trained on the slice of corpus that matters.
Builds account briefs, persona docs, and competitor maps from the open web plus your private context.
Drafts emails, ads, and sequences in your brand voice, scored against historical reply rates.
Generates full landing pages: layout, headline, form, and proof. Not just text.
Reads inbound replies and meeting transcripts. Scores fit and routes to the right rep with context.
Reviews call recordings and reply threads. Surfaces what worked and gives reps the next best action.
Predicts pipeline conversion from stage signals and flags slipping deals before the close date.
Live across every graph8 customer org. Every interaction adds to the corpus that trains the next version.
24 / 7
octa pipeline is drafting, generating, and qualifying inside every graph8 customer org.
6 heads
Each specialized on one GTM job and retrained as new outcomes land.
Every reply
Logged, scored, and folded back into the next training cycle.
Execution credits send, call, and run agents. Contact credits reveal and enrich the people you target. Three ways in.
A free entry point to the full platform. No credit card.
Unlimited contact data, in the tools you already use.
Unlimited users and data. Every app, one bill.
The $99 Team plan is the full platform: everything below, for the whole org. MCP Unlimited and Pay as you go are lighter entry points with usage and seat limits.
Execution credits send, call, and run agents. Contact credits reveal and enrich the people you target.
Replay one of your past campaigns through octa and see the lines, cadence, landing page, and meetings the model would have produced.