One entity, every channel
Ask on Slack what you started on Telegram — it was there. Same memory, skills, and work no matter where you reach it.
Early access
Design partner intro
We're looking for a small number of teams that want one AI entity connected to their company — reachable on every channel they already use, able to reach the systems their work runs on, with approval and audit in the loop. If your team carries a lot of repeated manual work across tools and chat, you may be a fit.
Send a short design-partner note Create self-serve account instead If you mainly want individual hands-on use, go straight to account creation instead of the design-partner path — no sales call required.
What happens after you send the note
- We reply fast if the fit looks real — usually within two business days.
- We narrow to one painful workflow instead of trying to map your whole company.
- We decide quickly whether to pilot or point you to the self-serve path instead.
Best intro notes are short and concrete: team size, current stack, one repeated workflow, and where evidence or approval matters.
You do not need these to be a fit
- A giant data stack. Files plus a few reachable systems are enough for a strong first pilot.
- A long requirements process. The right start is one sharp internal workflow with one owner.
- A commitment to full automation. The product is built around evidence and approvals on material actions.
Who this is for
- Lean teams, 5-50 people — not giant centralized IT or data orgs.
- Operators carrying repeated manual work — founders, CTOs, ops and data leads who keep getting pulled into the same asks across a handful of systems.
- Teams that already live in chat — you want help to come to you in Slack, Telegram, Teams, or email, not in yet another tab.
- Teams that care about trust — you want the entity to show the plan, attach the evidence, and pause for approval on material actions.
- Teams with reachable systems — files and a few tools such as Postgres, Stripe, S3, Snowflake, BigQuery, or Databricks, plus anything reachable via MCP.
What Evidloom is
Evidloom is the connective layer that makes your company's systems legible to one AI entity — and lets that entity answer wherever your team already works. It is not an app with integrations; it is one operator that lives on your computer and inhabits the channels you use: desktop, voice, Telegram, Slack, Teams, email. Same entity, same memory, same ongoing work, on every channel.
Ask in plain language. It walks you through connecting a system right in the chat, answers over it with evidence, and keeps approvals and audit in the loop for material changes. The point is not to replace Snowflake, Databricks, or your BI stack — it is to make the systems you already run legible to an entity that can act across all of them.
Why teams talk to us
Your systems, made reachable
Connect a source by asking. The entity reaches files and screen locally and your tools through connectors and MCP — no setup maze.
Governed by default, and it grows
Approval-aware execution and audit trails are part of the shape, not a patch. Overnight it consolidates what it learned and repairs what drifted — the entity grows around your work.
What design partners get
- Direct access to the founder team and a tight product-feedback loop.
- Hands-on onboarding instead of a self-serve dead end.
- Pilot or discounted early pricing while the workflow is still being shaped.
- A real say in the roadmap if you're using the product seriously and giving concrete feedback.
Best first pilot shape
- One painful repeated workflow — not a broad company-wide rollout.
- One clear internal owner who feels the interruption cost today.
- A small reachable stack — files plus a few systems like Postgres, Stripe, a warehouse, or internal tools.
- A trust-sensitive task where evidence and approval matter, not just faster autocomplete.
Good first pilots usually look like one of these:
- Revenue answers in chat: connect Stripe plus a few internal sources so one operator stops fielding the same finance and customer questions manually.
- Ops follow-through: let the entity gather context across files, inbox, and systems, then draft the next action with evidence and an approval step.
- Support or product triage: pull scattered signals into one place and answer with links, screenshots, or records instead of guesswork.
Common questions
- Do we need a warehouse already? No. A lean stack with files, a database, and a few operational tools is enough for a strong first fit.
- Can we start small? Yes. The right first pilot is usually one painful repeated workflow, not a full company rollout.
Current fit boundaries
We are early. The best fit today is a team that wants a governed AI entity wired into the systems and channels they already use — not a company shopping for a finished enterprise BI suite or a petabyte-scale warehouse replacement. We make your systems legible to the entity; we don't replace them.
If you already run Snowflake or Databricks, that's fine — the entity plugs in as a governed overlay, which is often the better starting point.
- Probably not a fit yet: you mainly want a polished BI suite, a warehouse migration, or fully automated writes with no approval friction.
- Better fit: you already feel the cost of repeated manual work, brittle handoffs, or low trust in AI-generated answers across tools and chat.
Which path is right?
- Choose design partner if you want help shaping a real workflow across multiple systems, with founder involvement and a focused pilot.
- Choose self-serve Studio if you mainly want to start using Evidloom yourself on your computer right away.
If you're unsure, start with the path that matches the first thing you want: a team workflow pilot or individual hands-on use.
Interested?
Email [email protected] with a short note about your team, your current stack, and the first workflow you'd actually want to pilot.
Send a short design-partner note
Rough bullets are enough — no polished deck or long brief needed. If there is a real fit, we'll move fast from there.
We usually reply within two business days.
- Owner: who would actually own and use the first pilot?
- Current stack: files, database, Stripe, warehouse, or anything else that matters.
- Pain point: where the repeated manual work or trust gap shows up today.
- First pilot: the one workflow you'd want Evidloom to help with first.
- Control point: where evidence or approval matters most in that workflow.
What happens next: if the fit looks real, we'll usually do a short intro conversation, compare your current workflow and stack, and decide whether a focused pilot makes sense.
If you just want to explore the Studio product first, create an account here.