Hire senior AI-native engineers for your startup

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Senior AI-native engineers, embedded in your team within a week. Your first 7 days are free.

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Teams we've built for

Client videos

Our clients, on camera. In their own words.

Watch all client videos on YouTube ↗

How it works

Three steps. The first 7 days are free.

What's stuck?

Our AI search fails with real users

Reply within a daySend

Tell us what's stuck.

A free call. We reply within a day.

Arslan Haroon

Senior AI-Native Engineer

2:00

Muhammad Asad

Full-Stack AI-Native Engineer

2:00

Meet your engineer on video.

Watch their intro and past work before you talk.

Your cost for these 7 days$0

Ship in week one.

Real work, free for 7 days. Keep them month to month.

Week one

What your first week looks like. From standup to shipped.

An example first weekFri · Week one, done

Daily standupMon 10:00 · 4 people

JDYou

SRTech lead

AKPM

Ali

Ali: Read the search code last night. Plan for ENG-142 in Slack by lunch.

# engTue

Sara Tech lead · 09:12

Can you take ENG-142? AI answers need to cite their sources.

AliWanile09:40

On it. Plan: add citations, build a 50-question eval set, ship behind a flag. Risks are in the thread.

2 replies

your-company/app · pull requestApproved · merged

feat(search): cite sources in AI answers #812

ali-nasir wants to merge 6 commits+412 −38

Tests48 passed

Eval set50 real questions

NotesWhat changed and why, in 3 lines

SRSara approved these changesYour review

Sprint 14Shipped to production · Thu 16:40

In progress

ENG-142AI answers cite sources

In review

ENG-142AI answers cite sources

Done

ENG-142AI answers cite sources

AI-native engineers

Meet the AI-native engineers. See their work first.

Every engineer has a short intro video and a walkthrough of what they've shipped.

60s intro

Engineer spotlight

Ali Abyer Nasir

Lead Software Engineer

years shipping

AI products live

Now

can start

RAG pipelinesLLM integrationsVoice-agent workflows

Senior Full-Stack AI Engineer · Tech Lead

Agentic AI systemsLLM workflowsRAG architecturesPython

Next.jsNestJSReactLaravel

AI/MLNext.jsNestJS.NET 8

See all engineers

Agentic engineering

The full agentic stack. Under one roof.

Six disciplines most teams hire separately. Our AI-native engineers work across all of them.

01

Agent architecture

Multi-agent systems that plan, delegate and recover on their own.

Multi-agent orchestrationPlanner–executor loopsA2A protocolDurable workflowsHuman-in-the-loopLangGraph

02

Tools and protocols

Agents with real reach into your systems, safely.

MCP serversFunction callingBrowser agentsCode sandboxesn8nWebhooks

03

Context engineering

The right knowledge in the context window, on every call.

Agentic RAGHybrid searchRerankersGraphRAGLong-term memoryLlamaParse

04

Vision and voice

Reads documents and images. Listens and speaks in real time.

VLMsLayout-aware parsingColPaliUnstructured.ioRealtime voice agentsWhisper

05

Models and inference

Frontier and open-weight models, routed by cost and quality.

ClaudeGPTGeminiLlamaQwenLoRA fine-tuningModel routingvLLM

06

Evals and LLMOps

Measured, traced and guarded before anything ships.

Eval-driven developmentLLM-as-judgeRed-teamingCI eval gatesLangfuseGuardrails

Deployed in your cloud or VPC·Model-agnostic, no lock-in·Evals gate every release

Shipped to production

Any industry. The same agentic engineering.

All case studies →

boardlens.ai

An AI workspace for boards and funds. Every insight cites the page it came from.

RAG with page citationsDocument intelligence

Read the case study

talvagt.com

A family of AI agents that keeps the books, with approval before anything posts.

Multi-agent systemHuman-in-the-loop

Read the case study

go-legal.ai

Ask, draft, review and sign legal documents in minutes.

Legal AI co-pilotAgentic pathways

Read the case study

sengira.com

Privacy-first sensors and AI insights that help older adults live independently.

IoT sensor fusionAI insights

Read the case study

kitabh.com

A home for Arabic writing, designed right to left from day one.

Arabic-first platformMedia

Read the case study

bpak.com

A custom 3D packaging studio, built in-house instead of licensed.

3D configuratorE-commerce

Read the case study

Where we've shipped.

Agentic engineering

One senior engineer. A team of agents.

Your engineer runs a squad of coding agents. You get a team's output, with one senior engineer accountable for every line.

How a change ships

A senior engineer at both ends. Agents in the middle.

Human first.

Your engineer agrees what done means with your lead, then writes the plan. Agents map the codebase and surface the edge cases.

EngineerAgrees "done" with your lead
✦AgentsMap the search code
✦AgentsFlag 6 edge cases

Agents next.

Agents draft the code, tests and docs in parallel, on separate branches. Your engineer writes the hard parts and steers the rest.

EngineerWrites the hard parts

✦AgentsDraft on 3 branches at once

✦AgentsWrite the tests and docs

Human last.

Agents run every test and eval. Your engineer reads every line and signs off. Nothing merges until your lead approves.

feat(search): cite sources #812

✦Agents50 of 50 evals passing

EngineerEvery line read. Signed off.

Agents alone are fast and careless. Engineers alone are careful and slow. You get the speed and the care.

01Your lead has the final say.

02Small PRs, always with tests.

03Every agent-written line gets read.

04Agents never touch production.

05The knowledge stays in your repo.

Your free trial

7 free days.

Your engineer works real tickets from your backlog for 7 days. Keep them month to month, or walk away and owe nothing.

Day 1

In your standup

Day 3

First PR merged

Day 6

Shipped to production

Day 7

You decide

A typical trial. Your success criteria are agreed on day one.

Start your free trialStarts after a free fit call.

Questions

Questions CTOs ask us.

Two things. Our engineers use coding agents to build, test and refactor in parallel, which is where the speed comes from. And they build AI agents into your product: agents that plan, use tools and finish real work. Either way, a senior engineer reviews and owns every change.

Profiles within 3 business days. Start within one week of your choice.

The engineer works on a real task from your backlog, against success criteria we agree on day one. If it doesn't work, you owe nothing.

You see the engineer's real work on video before you talk. You get a weekly written update, a free replacement if it's not the right fit, and everything documented in your repo. If someone leaves, the work doesn't leave with them.

NDA before any access. We work on accounts you control. AI tools never get production access. Access is removed the same day we finish. See our security page.

Full overlap with UK and European working hours. At least 4 hours of overlap with US East.

Yes. Add an engineer any time, or stop with 2 weeks' notice.

7-day free trial

What's been stuck the longest?

Tell us in one line. We'll tell you honestly if we can take it.

Prefer to talk? Book a free call.

Ship at AI speed.

A senior engineer in your standup by next week.

Our clients, on camera. In their own words.

Three steps. The first 7 days are free.

Tell us what's stuck.

Meet your engineer on video.

Ship in week one.

What your first week looks like. From standup to shipped.

Meet the AI-native engineers. See their work first.

The full agentic stack. Under one roof.

Any industry. The same agentic engineering.

One senior engineer. A team of agents.

A senior engineer at both ends. Agents in the middle.

Questions CTOs ask us.

What's been stuck the longest?