Why We're Building Orbis: Your Best Deals Don't Close in a CRM

The deal that changes your company's trajectory won't close in a Salesforce pipeline stage. It'll close in a WhatsApp thread at 11pm, in a Telegram group with three investors, in a Slack DM where someone you met at a dinner six months ago finally says "let's do this."

And your CRM won't see any of it.

We built Orbis because we believe the entire go-to-market stack is looking at the wrong thing. Every tool in the market - the CRMs, the sequencers, the AI SDRs, the enrichment engines - is optimized for one motion: sending more emails to more strangers. Meanwhile, the relationships that actually build companies are happening in channels none of these tools can reach.

That's not a feature gap. It's a fundamental misunderstanding of how work gets done.

The outbound machine is breaking down

Here's what the data says: cold email response rates have dropped to 4-5%, down from 8.5% just five years ago. Meeting booking rates from cold campaigns sit at 0.5-2%. Google and Outlook tightened spam filters. Prospects are drowning in AI-generated outreach they can spot instantly.

The industry's answer? More volume. More tools. More automation.

The average SDR now juggles 8-12 tools. They spend 70% of their time on admin - logging calls, updating fields, copying context between apps - and 30% actually selling. When they leave, every relationship they built walks out the door with them. The CRM they dutifully updated? It has names, dates, and pipeline stages. It doesn't have the context that matters: why someone trusts you, what you promised them, how warm the relationship actually is.

AI SDRs were supposed to fix this. They didn't. 11x.ai raised $76M to build an autonomous sales rep and ended up with 70-80% customer churn in three months. Artisan's AI BDR got banned from LinkedIn. Merriam-Webster named "slop" - low-quality AI-generated content - its 2025 Word of the Year. The category created more spam, not more pipeline.

GTM teams aren't anti-AI. They're anti-spam. They don't need another tool that sends thousands of emails to strangers. They need something that helps them deepen the hundred relationships that will actually determine their next twelve months.

OpenClaw proved people want this - and also that self-hosted isn't the answer

Then OpenClaw happened. An open-source AI assistant that lives in your WhatsApp, Telegram, Slack, and Discord - with persistent memory, proactive outreach, and a unified brain across every channel. It hit 117,000 GitHub stars in two months. People bought dedicated Mac Minis just to keep it running.

The explosion validated something we'd been seeing in every founder interview we did: people are desperate for an AI that works where they actually communicate, not just in a browser tab.

But OpenClaw also proved the limits of the DIY approach. It requires command-line setup and networking knowledge. It costs $300-750/month in raw API fees. Security researchers found 40,000 exposed instances and hundreds of malicious plugins. And it's fundamentally a single-user, personal tool - there's no shared context, no team collaboration, no organizational intelligence.

A founder can hack together their own OpenClaw setup. A GTM team of five never will. And even if they could, they'd have five separate AIs with five separate memories, none of which know what the others know.

Orbis is what comes next

We're building Orbis as the AI relationship workspace - the place where your team's entire relationship graph comes alive across every channel, with a shared AI brain that remembers everything and surfaces what matters.

Here's what that means in practice.

Your AI lives where your relationships do. Not just email. WhatsApp, Telegram, Slack, Discord, SMS. When a prospect messages you on Telegram at midnight, Orbis sees it, understands the full context of your relationship, and either responds intelligently or briefs you in the morning. When you say "message Liberty congrats on the round," it knows which Liberty, which channel she prefers, and what tone matches your history together.

Your team shares one brain. When your co-founder has a WhatsApp exchange with a prospect, your AE sees the full context before their Slack call the next day. When an advisor makes an intro over Telegram, the relationship doesn't disappear into one person's chat history - it becomes part of your team's collective intelligence. Context doesn't walk out the door when someone leaves.

Relationships are measured, not just managed. Traditional CRMs track pipeline stages. Orbis tracks relationship health - when a connection is warming, when it's cooling, when someone you haven't spoken to in six weeks is about to become relevant again. Sentiment analysis across every conversation. Follow-up intelligence that tells you who to reach out to, not just that you should.

Everything happens automatically. Contact enrichment from conversations, not manual data entry. Relationship graphs built from actual interactions, not imported CSVs. Heartbeat checks that proactively monitor your most important relationships and alert you before they go cold. The CRM that fills itself in is not a dream - it's an architecture decision.

Why now, and why us

Three forces are converging that make this the right moment.

First, the channel shift is undeniable. Business communication has permanently fragmented beyond email. Startup founders negotiate term sheets in Telegram. Enterprise champions share competitive intel in WhatsApp groups. Partnership discussions live in Slack Connect channels. Every year, more of the conversation that matters moves to channels that zero GTM tools can see.

Second, AI is finally good enough to be useful and cheap enough to be viable - but only if it has context. GPT-4, Claude, and their successors can draft genuinely good emails, synthesize conversation histories, and surface non-obvious relationship patterns. But they need persistent memory and multi-channel context to do it. A stateless AI that sees only your last email is a toy. An AI that remembers eighteen months of conversations across seven channels is a teammate.

Third, the market is exhausted by tools that optimize for volume over quality. The spray-and-pray era is ending. The next generation of GTM belongs to teams that build deeper relationships with fewer, better-qualified people. That requires a fundamentally different kind of tool - one that understands relationships as living, evolving things, not rows in a spreadsheet.

We've spent months interviewing fifty founders, mapping the competitive landscape, and building the infrastructure to make this real. We're not wrapping an API in a UI. We're building a relationship intelligence layer - with encrypted credential management, per-channel DM policies, thread-level conversation resolution, and a prompt architecture that gives the AI genuine understanding of who you're talking to, how you've talked to them before, and what they care about.

The world we're building toward

Imagine this: you walk into a board meeting and your AI has already prepared a relationship brief on every person in the room - synthesized from your team's WhatsApp threads, Telegram messages, email chains, and Slack conversations. Not a CRM printout of last activity dates. A genuine understanding of where each relationship stands, what was promised, what's pending, and what to say next.

Imagine your new AE's first day. Instead of spending two weeks asking "who do we know at this account?" they open Orbis and see every conversation anyone on the team has ever had with that company - across every channel, with sentiment and context intact.

Imagine telling your AI "find me a warm intro to the CTO of Stripe" and getting back not just a LinkedIn path, but a map of real relationships: your investor spoke to their VP of Engineering on WhatsApp last week, your advisor has a standing Telegram thread with their CTO, and your co-founder met them at a dinner three months ago.

That's not science fiction. It's an architecture decision, a set of integrations, and an AI that has enough context to be genuinely useful.

That's Orbis.

We're building Orbis for founders and GTM teams who know that one warm conversation is worth a thousand cold emails. If that's you, we'd love to talk.