octa-mini
Fast . always-on
Small, fast, always-on. Drafts emails, fills sequence variables, and scores reply intent in milliseconds inside the inbox and dialer.
DraftFill variablesScore intent
octa: our agentic GTM foundation model
octa. An agentic foundation model for marketing, GTM, and CRM.
Built on top of a strong open source base and developed in-house. A harness and an LLM work in tandem. octa is built on a decade of authorized campaign data from CIENCE and Tenbound, from 2,500+ B2B brands. New customers' data does not train the model.
No credit card. Verified companies get 5,000 starter credits on the Free plan.
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The training corpus 
A decade of real campaigns, feeding one model.
01 / The data advantage
A decade of real campaigns, structured for training.
Foundation models are bottlenecked by their training data. The public web teaches them prose. octa is trained on real GTM outcomes.
10+ yrs
of telemetry
Continuous campaign telemetry from 2015 onward. Multi-region, multi-industry, multi-channel.
1,000+
B2B brands
Real accounts across SaaS, finance, healthcare, manufacturing, media, and public sector.
Millions
of touches
Email, voice, SMS, social, chat, and landing pages. Every variant logged with the outcome it earned.
100Ks
labeled replies
Qualified replies tagged with the why behind every conversion and disqualification.
02 / The gap
Why generic LLMs miss GTM.
General-purpose LLMs 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.
Generic LLM
Trained on the public web. Knows what a cold email looks like.
octa
Trained on real campaigns. Learns which cold email got the meeting.
03 / The origin
From a thousand SDRs to one model.
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.
- 01 2015
CIENCE founded
Outbound campaign service launches. Day one: log every touch, reply, meeting set, and disqualification reason.
- 02 2015 to 2024
A thousand SDRs, 2,500+ brands
Daily CIENCE campaigns across SaaS, finance, healthcare, manufacturing, and public sector.
- 03 2025
graph8 platform launches
AI sales platform ships with the harness, agents, and integrations. octa is on the roadmap.
- 04 2025
Capchase becomes a graph8 shareholder
Capchase joins as a shareholder and contributes both the CIENCE and Tenbound campaign archives into the company.
- 05 2026
octa training begins
Pretraining starts on top of a strong open source base, using the combined CIENCE and Tenbound corpus.
- 06 Underway
octa-mini, octa, octa-reasoning
Three model sizes in development: low-latency drafting, balanced agentic execution, and deep reasoning.
04 / How octa learns
Ingest. Label. Pre-train. RL. Ship.
Campaign events from the CIENCE and Tenbound archives come in. Human reps tag the why. octa trains. octa Bench scores. New weights ship to every graph8 org. New customers' data does not train the model.
-
Step 01
Ingest
Campaign events from the CIENCE and Tenbound archives come in: sends, opens, replies, calls, meetings, deal stages, sessions, and form submits.
-
Step 02
Label
Human SDRs and AEs tag the why: which lines worked, which objections killed the deal, which page variant converted.
-
Step 03
Continued pre-training
Start with a strong open source base model. Run a large-scale continued pre-training pass on the GTM corpus.
-
Step 04
Long-horizon RL
Rollouts of realistic GTM tasks: write the next message, plan the sequence, qualify the reply, and generate the page.
-
Step 05
Evaluate and ship
octa Bench replays held-out historical campaigns. New weights ship to every graph8 org.
05 / Your data
Your data trains your model only if you opt in.
octa is built on a decade of authorized campaign data from CIENCE and Tenbound. New customers' data does not train the model.
A customer can opt in to train a model for its own workspace. That model learns from the customer's campaigns and stays in the customer's workspace.
01 Opt in 02 Campaigns 03 Label 04 Your model
06 / The lineup
Three model sizes, one foundation.
Same training corpus, three deployment shapes. Latency matters in the inbox. Reasoning matters in the deal review.
octa Default
The workhorse
The default workhorse. Plans sequences, qualifies replies, generates landing pages, writes follow-ups, and books meetings.
Plan sequenceQualifyGenerate pageBook
octa-reasoning
Deep work
For complex GTM work: account-level strategy, multi-channel orchestration, objection handling, and deal risk.
StrategyOrchestrateDeal risk
07 / The progress deck
How we are building octa.
Five short slides on the work in progress: strong open source base, continued pre-training, long-horizon RL, internal benchmark, ship.
08 / Goals
What we are optimizing octa for.
We will not publish benchmarks we have not earned. These are the outcomes octa is measured on.
01
Reply rate on cold outbound
Raise the reply rate on held-out campaigns from real industries, personas, and channels.
02
Meeting-set rate from positive reply
Convert inbound interest into calendar invites. The next three lines after a positive reply are where many teams lose the meeting.
03
Qualification accuracy
Route fit vs. non-fit replies against ICP, budget, timing, and authority before a human spends a minute.
04
Landing page conversion
Generate pages that convert clicks into pipeline: layout, headline, form, and proof.
09 / Side by side
octa vs general LLMs, by GTM task.
Same input, different upbringing. Generic LLMs read the public web. octa is built on a decade of campaigns.
Cold email
Picks the opener that this persona actually replied to in historical campaigns.
Writes plausible prose with no link to reply rate.
Qualification reply
Recognizes the objection pattern and drafts the response that reopened similar conversations.
Apologizes generically.
Sequence plan
Knows which cadence beat the alternative in this segment and which channel to switch to mid-sequence.
Guesses a generic 5-touch cadence.
Landing page
Generates the layout, headline, form, and proof block grounded in what converted for similar offers.
Returns copy, no page.
10 / octa
Six specialized heads, one model.
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.
Research
Builds account briefs, persona docs, and competitor maps from the open web plus your private context.
Copy
Drafts emails, ads, and sequences in your brand voice, scored against historical reply rates.
Pages
Generates full landing pages: layout, headline, form, and proof. Not just text.
Qualify
Reads inbound replies and meeting transcripts. Scores fit and routes to the right rep with context.
Coach
Reviews call recordings and reply threads. Surfaces what worked and gives reps the next best action.
Deal risk
Flags deals at risk and stalled deals.
11 / Today
What runs today, what is training.
The octa harness is live inside graph8. octa's own weights are in training on the CIENCE and Tenbound corpus. New customers' data does not train the model.
24 / 7
The octa pipeline runs inside graph8: drafting, generating, and qualifying on a strong open source base while octa's own weights train.
6 heads
Each specialized on one GTM job.
Opt in
New customers' data does not train octa. A customer can opt in to train a model for its own workspace.
07 / Pricing
Free for verified companies. Pay for what the agents run.
Every plan has unlimited users. Credits pay for sending, calling and running the agents. Three plans.
For verified companies Free
Free forever
No credit card Inbound, your first campaign and the AI front desk.
- 5,000 starter credits as you get set up
- 250 credits a month
- Unlimited website visitors and form capture
- AI web chat and AI receptionist
- Send from your own business mailbox
- 1 credit per contact reveal
To scale outbound Team
$99 / mo
Billed monthly Unlimited contact data and your own sending infrastructure.
- 10,000 credits a month
- Unlimited contact data, fair use
- Mailboxes, domains and LinkedIn accounts
- Dialer and outbound calling
- Outside-provider enrichment
- Export, API, MCP and CRM push
For high volume and agencies Platform
$499 / mo
Billed monthly Everything in Team, at the lowest credit price.
- 75,000 credits a month
- Everything in Team
- Lowest credit price, $0.0067
- Agency client workspaces
- Higher fair-use and export limits
Start free with no credit card, or pick Team or Platform and pay monthly or annually at signup. You can change plans inside graph8 at any time, and your setup and data stay where they are.
Every plan
- Unlimited users
- Free search and browse of graph8 data
- Getting started package: company research, brand kit, first landing page
- Bring your own AI keys
Talk to us. Qualifying teams get 12 months of unlimited contact data, free. Talk to us
What the plans include
One platform, three plansEvery plan opens the same platform for the whole org. The plans differ in monthly credits, the price of an extra credit, contact data and sending infrastructure.
What the agents run
Paid in credits- Campaigns and sending infrastructure Mailboxes, domains, and deliverability run for you, end to end.
- 5-channel sequencer Email, phone, LinkedIn, SMS, and WhatsApp in automated sequences.
- Dialer and AI voice agents Reps call from the built-in dialer. AI voice answers inbound calls, makes outbound ones and books the meeting.
- AI inbox Every inbound email, LinkedIn message and reply sorted, drafted and answered.
- Meeting routing and booking Route leads to the right rep and book the meeting automatically.
- CRM, pipeline, and quotes Deals, quotes, and each rep's daily list in My Desk.
- Studio content engine Brand, newsletters, landing pages, ads, and campaign content.
- AI agents and workflows Operator and Executor agents for RevOps, deal reviews, and SDR work.
Contact data
Unlimited on Team- Unlimited contact data on Team and Platform Reveals are unlimited for every user on Team and Platform, under fair use. On Free, each reveal costs 1 credit.
- Export, API and MCP bulk Exports, API and MCP bulk pulls, CRM push and webhooks on Team and Platform, under fair use.
- Buying signals Visitors, intent, hiring, and job-change signals on every account.
- Waterfall enrichment Outside providers on Team and Platform, pay on match or bring your own keys.
- Free search and browse Your whole team explores 700M+ contacts and 100M+ companies.
For the whole team
Always on- Unlimited users, no seat fees Invite everyone. Pricing never scales with headcount.
- Sending infrastructure on paid plans Mailboxes, domains and phone lines at cost plus 30%, LinkedIn accounts at $10 a month, paid from your credits.
- Built-in CDP and integrations Warehouse, 500+ connectors, two-way CRM sync included.
- Monthly or annual Pay monthly and cancel anytime, or pay annually and save 20%.
- Fair-use rate limits Limits apply on all plans. They guard against scraping, not real GTM work.
Credits pay for sending, calling, AI and enrichment. Monthly credits are used first, then starter credits.
octa model
Bring your motion. octa already knows the patterns.
Replay one of your past campaigns through octa and see the lines, cadence, landing page, and meetings the model would have produced.