"Where did we land on that?" "Who made that call?" "Wait — when did that change?"
Your entire company's knowledge, verified and searchable — running on a private server built only for you. No shared infrastructure. No exposure. One brain, fully yours.
Request early accessWhat a team knows is buried across Slack threads, email chains, documents, and people's heads — unorganised, rarely searchable, and constantly costing time. Jumping between tools to find a decision made three months ago. Context that vanishes when someone leaves. Chaos that scales as the team grows.
The tools that exist either require someone to write things down manually — which never happens consistently — or were built for enterprises with IT departments. Nobody built something for the teams that need it most. EarlyEcho is that solution.
A two-minute onboarding — business name, what you do, what you don't, team size. That is the only form a client ever fills in manually.
Slack and Gmail connect directly. We also import the last six months of Slack history on day one — so memory starts full, not empty. For every other tool — HubSpot, Notion, Pipedrive, any spreadsheet — clients upload a CSV or Excel export. Native direct connections to project management tools are coming in Phase 2.
Every day, EarlyEcho reads new messages, emails, and documents. Facts stated clearly are stored automatically. Anything uncertain or conflicting is held for a one-click human review. The team stays in control of what enters their memory.
Query the memory in plain language and get cited answers — every response traces back to its original source. A daily briefing surfaces what matters before the day starts. The agent drafts, prepares, and acts — but only from verified memory, and only when asked.
A dedicated review layer reads every extraction before anything is stored. It checks: is this actually stated in the source? Does it conflict with existing memory? Facts above a confidence threshold are stored automatically. Everything else goes to a one-click human review queue. The system also tests itself regularly against a set of known questions — flagging any drift in accuracy before it reaches the team.
EarlyEcho is being built in two deliberate phases. The first is intentionally personal — we onboard each client directly, configure their environment, connect their tools, and manage the system. This lets us build something that actually works before we scale how we deliver it.
Most productivity SaaS charges $20–30 per seat per month and leaves teams to figure out configuration, maintenance, and adoption on their own. EarlyEcho is not that.
EarlyEcho is a managed operating system for a business — deployed, connected, and maintained. The price reflects the outcome delivered, not a seat count. A working company memory that saves hours every week and prevents costly context loss is worth significantly more than another subscription a team has to babysit.
Phase 2 moves to a flat monthly managed tier — predictable, capped, and inclusive of infrastructure. No surprise usage bills. No per-seat math. One price for a system that works.
The future of work is being built by small teams. They are already the fastest-growing segment — lean, fast-moving, operating at a complexity their headcount doesn't suggest. But no tool has been built truly for them. Enterprise tools assume IT departments, long implementation cycles, and dedicated resources most teams simply don't have. That is why we are prioritising them first.
That does not mean we cannot serve larger organisations. The architecture scales to any headcount — a team of 10 and a team of 500 run the same system, the difference is configuration, not capability. We can and will grow with our clients. But we genuinely believe in small teams and what they represent. They are in the most need, being left behind by every tool that defaults to enterprise first, and they are the ones we are building for.
Teams of 5 to 50. Agencies, consultancies, early-stage companies, professional service firms — places where one person leaving takes half the company's operating knowledge with them and where no IT team exists to fix it.
Any organisation that has outgrown informal context-sharing. The same single-tenant architecture, the same accuracy guarantees, the same private server — at any headcount, without rebuilding anything.
Notion, Confluence, and Guru all require someone to deliberately write things down. Nobody does this consistently. EarlyEcho captures knowledge from conversations that were never formally documented — decisions in Slack, context in emails, beliefs the team has never put in writing. Then it verifies them before storing.
Most AI memory tools store whatever they extract without checking it. EarlyEcho runs every extraction through a dedicated review layer before storing. High-confidence facts go in automatically. Anything uncertain goes to human review. The team always knows what's in there and why.
Most SaaS tools run all customers on shared infrastructure. Client conversations, pricing decisions, and internal processes sit in a multi-tenant database. EarlyEcho gives every client a fully isolated, dedicated private environment. No shared pipelines, no shared databases, no risk of bleed between organisations.
Every AI product today races to claim maximum autonomy. EarlyEcho takes the opposite position. The agent is a secretary — it acts when asked, from verified memory only, and takes on more autonomy only when the team decides they're ready. Trust is built gradually, not assumed.
Glean requires enterprise contracts and dedicated implementation. The tools that do exist for smaller teams are either too lightweight to be serious or too complex to be adopted without a technical owner. EarlyEcho is done for you — no internal technical resource required, no lengthy setup, working from day one.
Every client runs in a fully isolated, dedicated environment. This is the architectural moat. It means your company's operating knowledge — client names, pricing decisions, internal processes — never sits in a shared database or travels through shared pipelines. The private server is not a feature. It is the foundation the whole product is built on.
EarlyEcho is in early access. We are selective about who we work with at this stage.
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