devlit.ai

Data and AI studio for GTM teams

Products and engineering for GTM data.

Devlit makes software for sales, marketing and RevOps teams, and builds data and AI systems inside your CRM, warehouse and tools: clean data, pipelines, signals and AI agents.

Built by the Devlit team · 8 years building production data and AI systems

Have us build yours, or use our product.

One engineering practice, two ways in.

Services · In your stack

Built for you

We design and build GTM systems inside your CRM, warehouse and Slack: signal pipelines, clean account data, routing and AI research agents. Scoped in weeks, documented, handed over.

Best if you need it in your own stack, on your own rules.

Product · Private beta

Flashes

Buying signals for sales teams. Flashes reads the news and companies' job boards for the moment an account is ready to buy, and tells the account owner who to call, why now and what to say first.

Best if you want signals running next week, without building anything.

Problems we're built for.

Pick the one that sounds like your Monday.

  1. 01

    Reps don't know who to call this week.

    We find the real changes at your accounts, drop the noise, and send each one to the owner with a reason and an opener.

    Flashes, or a build.

  2. 02

    Every pitch starts from zero.

    When a prospect looks like an account you've already won, we match it automatically and hand the rep the story, the numbers and the opener that worked, before the first call.

    A build.

  3. 03

    Account research lives in twenty tabs.

    We put funding, hires, tech stack and recent news on the CRM record and in Slack, where reps already work.

    A build.

  4. 04

    Nobody trusts the CRM.

    We merge duplicate accounts, tie every company to its domain, fix routing, and connect CRM, call and product data into one model.

    An audit, then a build.

  5. 05

    The AI pilot made things up.

    We build research, routing and CRM agents with evaluations, guardrails and a source on every answer. A human stays on the send.

    A build.

Built to be checked.

Four rules for every system we build, for ourselves and for you.

  1. 01

    Every system shows its reasoning.

    A signal links to the record behind it. An agent's answer cites what it read. If your team can't check it, we don't ship it.

  2. 02

    What it skips keeps its reason.

    When a system holds back a record or a decision, it logs why. You can audit what it ignored, not only what it sent.

  3. 03

    You own it.

    We build in your CRM, warehouse and cloud accounts, write down every decision and why, and hand over a runbook. Nothing to rent back from us.

  4. 04

    Paid data earns its place.

    We start from public and first-party sources, meter every paid call against a budget, and show you the cost per result. No credits burning in the background.

Four ways to work with us.

Every engagement is scoped in writing before we start, built by the team that scoped it, and handed over with documentation your team can run.

  1. Signal Audit

    Two weeks · Fixed fee

    We review your signal sources, enrichment, CRM data and the alerts your reps receive, check what turns into action, and write a plan: what to keep, cut and build. Yours to use with or without us.

    Best for teams paying for signal or data tools without knowing which ones produce pipeline.

    Ask about this
  2. GTM Systems Build

    Usually 4 to 8 weeks · Fixed scope

    One complete system in your stack: a signal pipeline, a warehouse model, reverse ETL into your CRM, account matching, or an AI agent that drafts the research and the opener. A demo every week, handed over with tests and a runbook.

    Best for teams who know the problem and want it built properly, once.

    Ask about this
  3. Embedded GTM Engineer

    Monthly

    Ongoing builds and upkeep: new plays, broken syncs, tool changes, agent tuning. A shared backlog, prioritised with you every week.

    Best for seed to Series C teams that need the work every week, but not a full-time hire.

    Ask about this
  4. Advisory

    Monthly or per decision

    A second opinion before you buy, build or hire: stack and vendor choices, architecture reviews, AI policy, and help hiring your first GTM engineer.

    Best for founders and revenue leaders making a decision they'll live with for years.

    Ask about this

How it works

  1. 01

    A 30-minute call.

    We tell you straight whether we're the right fit.

  2. 02

    A written scope.

    What we'll build, what we won't, the price and the dates.

  3. 03

    The build.

    Working software in your own accounts, demoed every week.

  4. 04

    The handover.

    Runbook, decision log, a session with your team. You own all of it.

Where we're the wrong fit. We're not an outbound agency. We don't run your campaigns, send email for you or book your meetings. We take a small number of engagements at a time, so we can do each one properly.

One team, accountable end to end.

Devlit is a data and AI studio for go-to-market teams: we make products for revenue teams and build data and AI systems inside yours, handed over when we're done. The team brings 8 years building production data and AI systems for clients in education, sports analytics and financial services. Every engagement is led end to end by the people who scope it, and handed over with documentation your team can run.

Connect on LinkedIn

Tell us what's not working.

In 30 minutes we'll tell you what we'd keep, what we'd cut and what we'd build. If we're not the right fit, we'll say so.

Write to us

So we can look before we talk.

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