Integrations

Yes. We offer a Proof Of Value period where you can connect the data sources of your choice and our meeting bot and start seeing how Revo learns from every of your interactions and see its intelligence compound way beyond any AI chat on the market.

Fast-growing companies (50+ employees) serious about AI transformation that are drowning in their own velocity. If your team ships 3x faster with AI but keeps losing track of decisions, if you're repeating experiments, if new hires take weeks to ramp, if customer context falls through cracks—you need Revo. Built for teams that move fast and can't afford to forget.

Pricing scales with company size. Typical range: $20K-$200K/year depending on employees and integrations. Given the ROI (300x for a 100-person company), most customers see payback in under 2 weeks. We offer flexible payment terms and can structure around your budget cycle. Book a demo to get exact pricing for your team size.

Yes. Enterprise-grade security: SOC 2 Type II, ISO 27001 and ISO27701 certified, data encrypted at rest and in transit, zero-trust architecture, annual penetration testing, GDPR/CCPA compliant. Your data never trains any LLM whatsoever. You can delete everything anytime. We're paranoid about security because we're handling your company intelligence.

Core: Slack, Google Drive, Notion, Linear, Jira, Confluence, Google Calendar, Zoom,Zendesk, Intercom. Team, Meet. Sales: Salesforce, HubSpot, Gong. Meetings: Zoom, Google Meet, Teams (transcripts). Code: GitHub. We add new integrations monthly based on customer requests. If you need something specific, we'll prioritize it.

No. Revo works in the background, structuring every conversation, meeting, and decision automatically. Your team doesn't "use" Revo like they use Notion. They just work normally, and Revo makes them 10x smarter by giving them instant access to full company context. The only change: questions that used to take 30 minutes now take 5 seconds.

(1) Teams waste 30 minutes every time someone asks "who is responsible for this?", "why did we decide this?" "when do we ship that?"→ Revo answers in 5 seconds. (2) Companies repeat $500K failed experiments because nobody remembers → Revo flags it immediately. (3) Customer requests fall through cracks → Revo captures and cross-links to product roadmap. (4) New execs struggle after months and no one saw it happen until it's too late → Revo gives everyone full context and visibility on day one.

Initial setup: 30 minutes (connect Slack, Confluence, Google Calendar). First intelligence: 24 hours (Revo processes and structures your data). Unlike traditional software, Revo autonomously gets more valuable every day you use it.

Three reasons: (1) RAG uses old docs—Revo updates daily from live conversations. (2) RAG searches—Revo synthesizes across dedicated modules with cross-linking. (3) RAG hallucinates—Revo explicitly shows gaps (❌) instead of making up answers. RAG is better search. Revo is cognitive infrastructure. Try RAG for 3 weeks, then come back when you realize what's missing.

Time savings: Your team asks "why did we decide this?" about 50 times per week. Each answer currently takes 30 minutes of digging through Slack and old docs. That's 25 hours/week of pure archaeology across your team. Revo answers in 5 seconds. At a conservative $100/hour fully-loaded cost, that's $130K+/year saved just in time recovered.

Mistake prevention: Most companies repeat 2-3 expensive experiments per year because the person who ran it left, or the results got buried in Notion. Each failed experiment costs $250K-$1M in wasted eng time, lost opportunity, and team morale. Revo flags "you already tried this—here's why it failed" before you start. Preventing even one saves 10-50x Revo's cost.

Customer retention: When customer requests fall through the cracks (buried in a Salesforce note Product never saw, or lost in a sales call transcript), you lose customers. If Revo helps you retain even 3-5 customers per year by keeping their context visible, that's $500K-$2M in retained ARR depending on your ACV.

Faster ramp: New execs currently take 4-6 months to understand "how things work here" and another 3-6 months to be fully productive. Revo gives them the full company brain on day one—every decision, every strategy shift, every "why we do it this way." Cutting ramp time in half means execs contribute $150K+ more value in their first year.

Bottom line: Most customers see 50-300x ROI in year one. The exact number depends on your team size, how much context you're currently losing, and how expensive your repeated mistakes are. But the pattern is consistent: companies waste millions on organizational amnesia. Revo makes forgetting impossible.

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Every employee becomes 10x smarter with access to the full company brain. Every decision. Every experiment. Every customer conversation. Cross-linked. Always current. Instantly accessible. Deep context compounds into insights no human could hold in their head—like having a 10-year veteran's knowledge available to every employee on day one amplified with AI reasoning. That's Superintelligence.

ChatGPT knows nothing about your company and resets every conversation. Revo learns your decisions, tracks evolution, cross-links context, and gets smarter every day. It's not generic AI—it's company-specific superintelligence. When you ask "why did we decide this?" Revo gives you the full history, sources, and cross-linked impact. ChatGPT gives you a guess from stale documents chunks.

Glean searches documents. Revo synthesizes intelligence. When you ask "Can we ship Feature X by Q2?" Glean returns 10 docs for you to read. Revo gives you: current roadmap status (updated today), engineering capacity (from sprint planning), dependency blockers (cross-linked from 3 teams), and a confidence score with gaps highlighted. Not search. Intelligence.

While I am most useful for companies with large teams, lots of data, and complex product challenges, I can also provide significant value to startups that don't have dedicated product managers. In these cases, the product management function is often shared between founders, engineers, designers, and other team members who are already wearing multiple hats. This can lead to a lack of focus, inconsistent prioritization, and difficulty in making data-driven decisions.

That's where I can come in and help fill the gap. By acting as a virtual product manager, I can bring a level of structure, discipline, and data-driven decision making to the product development process, even in the absence of a full-time PM.

By leveraging my capabilities, startups can benefit from some of the advantages of having a dedicated product manager without hiring one full-time. As the startup grows and a full-time PM is hired, I can help with the transition by providing historical context, transferring knowledge, and ensuring a smooth handoff of responsibilities.

Ultimately, my goal is to help startups succeed by bringing the power of data-driven product management to teams of all sizes, providing insights, automation, and best practices needed to build great products and drive business growth.