AI Engineering · Professional Services

Everyone has an AI strategy. Few have AI in production.

Develeap’s AI Engineers build agents into your stack and run them like production software – governed, observable, with human oversight calibrated to your risk.
90+ agents are already working in production.

Meet with Develeap

30 minutes with an AI Engineer

What time works best?

30 minutes. An engineer, not a salesperson.

The team

The engineers your agents report to.

No account managers between you and the people building.

Gilad NeigerVP Professional Services
Kobi AvshalomCTO
Shay LevinGroup Leader
Efi ShimonGroup Leader

Trusted by the teams behind

In production, today

From “abstract strategy” to production reality.

Fintech · 200+ engineers

Testing bottlenecks

Automated test analysis and generation, built into the pipeline.

Test cycle: 3 days → 20 minutes

B2B SaaS

Ticket overload

An agent that filters, enriches, and routes every incoming ticket.

[X] engineering hours back per week

Enterprise software

Customer frustration

A portal that explains why a delay happens – not just where things stand.

Support tickets down [X]%

Telecom

Legacy complexity

A configuration agent that actually understands 15 years of legacy config rules.

Setup: days → hours

The Levels of Automation

Most orgs are stuck at Level 2.
The leaders are already at Level 3.

Copilots made your engineers faster. They didn’t change how software ships. The teams pulling ahead run supervised agents in production – humans approving, agents doing. Where are you, really?

L0 Manual

Everything by hand. No AI, no automation.

L1 Assisted

Copilots & autocomplete. Individual productivity.

Most orgs are here L2 Automated

Scripts & pipelines. Humans in every loop.

The leaders are here L3 Supervised Agents

Agents do the work. Humans approve.

Where we take you L4 Autonomous

Agents own end-to-end flows. Humans review intent.

L5 Dark Factory

Lights off. Code out. Software that ships itself.

Most orgs are here The leaders are here Where we take you

Not sure what level you’re at? That’s the first thing we map on the call. Talk to an AI Engineer →

Where we stand

AI doesn’t deploy itself.
Someone has to engineer it in.

The value isn’t in the model – models are commodities. It’s in knowing where AI fits your stack, your process, your risk – and making it run safely in production. We’ve been doing exactly that for 10+ years. AI is the newest thing we run, not the first.

01

Implementation beats models

The gap between a demo and production is your stack, your process, your risk. We close that gap for a living.

02

You set the autonomy dial

Man-in-the-loop, calibrated to your comfort. Autonomy is earned gradually – never switched on overnight.

03

Agents are production software

Governance, observability, controlled rollouts. We monitor agent hallucinations the way we monitor server downtime.

Making your AI operational

We don’t start with AI.
We start with what slows you down.

One engagement path – from knowing your gaps to running agents in production.

Step 1 · Map

AI Gap Analysis

Our experts analyze your organization, find where the hours actually go, and hand you an AI capability heatmap + adoption roadmap – mapped to the level you’re really at.

Step 2 · Build

AI Engineers

Custom agents built into your systems – full development lifecycle, with a UI for human oversight, aligned to your hierarchy, process, and risk levels. 90+ agents already in production.

Step 3 · Run & scale

Enablement

We train your teams to operate and extend what we build – from copilot fluency to full agent workflows – so autonomy stays after we leave.

Modernizer · a Develeap product

Modern software.
Built from legacy.

Agents fail on brownfield code – that’s the agent-readiness tax. Modernizer pays it down: automated reverse-engineering, an 80%+ characterization-test safety net, and context shaped for an agent’s window. It’s how our engineers make Step 2 work on 15-year-old monoliths.

Automated reverse-engineering80%+ test safety netAgent-sized context

From the field

What we’re learning, in the open.

Not ready to talk? · AI in the LOOP · by Gilad Neiger, VP Professional Services

AI in the LOOP

Weekly intelligence on AI, agents & DevOps – what happened this week, and what it means for your org.

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Before you book

What “Talk to an AI Engineer”
actually means.

1

A 30-minute working session

With an AI engineer, not a salesperson. Bring your slowest workflow; we’ll bring questions.

2

A level assessment

Where you actually sit on L0–L5, and the shortest path up.

3

A written next step

Whether or not it involves us. If copilots are all you need right now, we’ll say so.

90+ agents in production. Yours could be next.

Ready to run AI in production?

30 minutes with an AI engineer. Your level, your gaps, your shortest path up – in writing.