Start seeing real ROI from your AI GTM transformation
Keep your team coming back to Claude, Codex, Clay, and more by improving their performance with Octave. Move from scattered context to a shared intelligence foundation you can govern, improve, and trust.
Thousands of users at leading companies including
Stop reinventing the context wheel.
Everyone on your team is building personal context folders for their AI tools. Unite one-offs with shared context that stays up to date.
Improve performance of all your tools and teams
Octave's MCP gives Claude, Claude Code, ChatGPT, and other LLM interfaces direct access to your live context graph, improving their output quality.
Sellers and BDRs
Research accounts, draft outreach, and rehearse objections, with nuanced personalization for your target buyer.
Marketers
Generate and repurpose material with current positioning, customized for any combination of audience characteristics.
Leaders
Explore buyer patterns, compare real field conversations with your ideal strategy, and build adaptive team trainings.
Why GTM teams aren't seeing AI ROI as quickly as they expect
Separate setups slow you down
Individuals waste time maintaining their own agent instructions and company context.
One shared foundation
Give connected tools access to the same approved messaging and buyer guidance, with capacity for deep personalization.
Broad context products generic work
Ungrounded LLMs aren't precise enough for high-stakes GTM work.
See the impact of quality work
Your team gets the right answers, produces the right content, and has more personalized customer conversations. Measure its performance across customer conversations.
Context gets stale quickly
As soon as you have a new feature, competitor, or message, AI tools are working off outdated information.
Updates instantly available to tools
Octave is easy to keep up-to-date via MCP and self-learning. It analyzes daily field conversations to suggest messaging updates.
Octave caused us to standardize on an AI work surface. If you weren't working out of a Claude instance with Octave plugged in, you were not effective in go-to-market. All my salespeople are sharp. They were working overtime to upload old training documents into personal context folders, copying and pasting text, trying to train AI to help them with deals. When Octave was deployed, they were relieved it wasn't their job anymore. That's when I realized we hit an acceleration point.
Octave's MCP empowers every single BDR to have access to this technology in their day-to-day, which is amazing for me as a leader. I can teach the system, and then teammates can use it for scoring or personalization, because I know there will be consistency. The Octave MCP in Claude is my right hand for strategic work. I use it constantly to iterate on playbooks, refine qualification agents, rewrite positioning, do pipeline analysis, and more.
We hit a point in our AI transformation where we realized that if we got the context layer right, all of our experiments will go faster and all our endpoints will have better outcomes. Now I love investing and improving the context layer in Octave, because it helps my sellers, marketers, and CSMs do better. That single investment in intelligence at the top pays off when you get the architecture right.
Test it in Claude or Codex
Deliver on your AI mandate