A forward-deployed engineer for your
AI feature.

Your team still does too much by hand. We match the work against 350K+ vetted engineers and put one inside your team to automate it, with your people kept at the decisions that matter.

One engineer to start. More as the work grows. Month to month.

Trusted by
AktosScaleFireflies.aiPlacer.aiAtomsGridwareNorthwestern MutualTalently.ai

The manual work we take off your team.

Automate the repetitive parts. Keep your people on the decisions.

Workflow automation

One workflow at a time. People stay at the approval points that carry real risk.

See the work
Example · handling one supplier invoiceIn production
50 min→5 minof your team’s time
  1. 01Open the email and download the invoiceAutomated
  2. 02Type the amounts into the finance systemAutomated
  3. 03Check it matches the purchase orderAutomated
  4. 04Approve the paymentYour team
  5. 05Schedule the payment and file the recordAutomated

AI features

Assistants, search and summarisation inside the product you already have.

What did we agree on pricing last week?
Three calls mentioned it. Summary attached, with timestamps.

Internal tools & integrations

Dashboards, ops software and the connections between systems.

CRM → billing synclive
Ops dashboardin review
Vendor intake formnext

Product & infrastructure

Frontend, backend, mobile, cloud and DevOps, shipped from inside your team.

feat: migrate auth service to KubernetesMerged · deployed

Engineers who work your hours, inside your team.

Matched from 350K+ vetted engineers to the problem you bring. You meet them before anything starts.

Backend & automation6h overlap
Product & AI features5h overlap
Data & integrations7h overlap

Who we’ve built for.

AI features, data platforms and whole products, in production.

See the work in detail →
AktosScaleFireflies.aiPlacer.aiAtomsGridwareNorthwestern MutualTalently.aiAktosScaleFireflies.aiPlacer.aiAtomsGridwareNorthwestern MutualTalently.aiAktosScaleFireflies.aiPlacer.aiAtomsGridwareNorthwestern MutualTalently.ai
Talently.aiNorthwestern MutualGridwareAtomsPlacer.aiFireflies.aiScaleAktosTalently.aiNorthwestern MutualGridwareAtomsPlacer.aiFireflies.aiScaleAktosTalently.aiNorthwestern MutualGridwareAtomsPlacer.aiFireflies.aiScaleAktos

Four steps, from problem to production.

  1. Problem
  2. Understand
  3. Build
  4. Production
  1. 01

    Bring us the problem

    Show us the workflow, feature, system, or bottleneck that needs engineering ownership.

  2. 02

    We get inside the problem

    We understand the workflow, systems, constraints, approvals, and what actually needs to be built.

  3. 03

    We build inside your environment

    The right engineering capacity works with your team, in your systems and tools, through deployment.

  4. 04

    Ship, improve, or expand

    Put it into production. Keep improving it, take on the next problem, or scale the team where the work requires it.

You meet the engineers working on your problem before the engagement starts.

What clients say.

From the teams we’ve built inside.

We started working with Remotebase while still a seed stage company. When we raised our $20 million Series A, almost half our tech team was Remotebasers! Needless to say, they have truly helped us scale.

Sam Udotongfireflies.ai
Fireflies.aiProduct & AI features
  • AskFred assistant
  • AI meeting apps
  • Super Summary
  • Micro-services
70%fewer reported issues
40%more user engagement
fireflies.ai ↗
Northwestern MutualAI features & data platform
  • Health data platform
  • Device integration
  • ML health insights
1secure AI data platform, in production
northwesternmutual.com ↗
Talently.aiProduct build
  • Voice interviews
  • Live & recorded
  • Assessment reports
Text → voicewhole product built
talently.ai ↗

What’s still sitting on your roadmap?

Pick one. Put engineering ownership behind it.