Research question
Define the technical uncertainty, current baseline, variables, success and a useful negative outcome.
Solutions
Which situation are you in?
Neul Labs helps teams put AI into production, automate demanding workflows, and fix the performance, integration and control problems that block adoption. Start from the problem you recognise — the engineering follows from it.
Launch production AI
The demo works. Now it has to launch.
We take AI prototypes and pilots through the engineering that a real launch needs — evaluation, permissions, recovery, deployment and operational ownership — without rebuilding what already works.
- Usually owned by
- CTO, Head of AI or the product leader who has committed to a launch date.
- First step
- Readiness or feasibility review · £3,000–£6,000
Rescue an AI project
Stabilise an AI project that is losing confidence
When a pilot is late, unreliable or quietly losing its sponsors, we diagnose the actual cause from evidence and stabilise it with measured, reversible changes — or tell you plainly that it should stop.
- Usually owned by
- The engineering lead or sponsor accountable for a struggling AI initiative.
- First step
- Readiness or feasibility review · £3,000–£6,000
Automate a business workflow
Make a demanding workflow shorter and dependable
We redesign one workflow end to end, connect it to the systems it already depends on, automate what should be automated — with AI only where it earns its place — and measure the difference.
- Usually owned by
- COO, operations leader or the manager whose team runs the process every week.
- First step
- Readiness or feasibility review · £3,000–£6,000
Make AI useful for a team
AI tools are bought. Now make them useful.
We enable one team at a time around a real workflow — implementing the tools, integrations, guardrails and measures that turn AI licences into dependable everyday practice.
- Usually owned by
- VP Engineering, Head of Operations or the leader accountable for an AI adoption initiative.
- First step
- Focused engineering sprint · £15,000–£35,000
Get an AI system approved
Give security something it can approve
We implement the testable controls that let an AI system pass a security review or enterprise procurement: scoped permissions, human approvals, audit trails and evaluation evidence.
- Usually owned by
- CTO, CISO or the security sponsor who must approve an AI system — or the product leader whose deal depends on it.
- First step
- Focused engineering sprint · £15,000–£35,000
Fix performance or cost
Fix performance or cost
Latency, memory or operating cost is blocking growth. We measure the bottleneck before changing anything, then remove it with benchmarked changes.
- Usually owned by
- Platform or engineering lead with a latency, memory or cost target.
- First step
- Usually quoted directly as a sprint
Unblock an integration
Unblock an integration
A missing connector, MCP server or SDK is delaying a contract or forcing manual work. We build it with tests, rollback and a maintenance owner.
- Usually owned by
- Product or engineering leader whose roadmap depends on the connection.
- First step
- Usually quoted directly as a sprint
How we choose the work
An honest answer comes before a proposal
Every situation on this page can be solved in more than one way. Sometimes the best answer is an existing platform configured well, a small integration, or ordinary deterministic software with no model in it at all. Sometimes it is not to build anything. We would rather tell you that early than sell a project that should not exist.
When software is the answer, we work inside your existing stack wherever we can, change the components the evidence points to, and leave you with tests, measurements and documentation your own team can own.
Neul Labs publishes a large body of open-source engineering. It is there so you can inspect how we work before trusting us with your system. It is never a requirement: you do not need to adopt any of it to work with us.
Not sure which applies?
Many projects sit across two of these situations — an AI workflow that needs controls before launch, or an automation that depends on an integration nobody has built. Describe what has to work and we will suggest where to start.
When the problem is not yet clear enough to price, the usual first step is a fixed-fee readiness review. When it is — a defined connector, an agreed benchmark, written acceptance tests — we can quote a focused sprint directly.
Describe the problem →Other routes
Specialist and selective work
These routes are smaller parts of the business. We take them on when the problem is a good match for our experience.
Developer tools and SDKs
A maintainable CLI, SDK or internal tool that removes a recurring delivery bottleneck, with a release process and a named maintainer.
Delivery partnerships
For consultancies and platform vendors with a named customer engagement that needs specialist integration, hardening, evaluation or performance work.
R&D collaboration
A defined software work package inside a research programme, academic collaboration or eligible consortium.
R&D collaboration
Turn technical uncertainty into a bounded experiment
Neul Labs can contribute a defined software work package to an internal R&D programme, academic collaboration or eligible consortium. The work begins with a knowledge gap and experimental decision, not a funding programme name.
Review the engineering evidence method →Experimental software
Build the smallest instrumented prototype, harness or integration needed to answer the question.
Reproducible evidence
Retain versions, methods, raw observations, costs, failed approaches, uncertainty and limitations.
Consortium work package
Agree inputs, outputs, IP, security, dependencies, budget, reporting and exploitation ownership with the lead.
A capability page or proposal does not establish eligibility, grant award, research-partner status or match finance. Those claims require the call rules, consortium and written funder decision for the specific project.
Bring us the boundary that keeps breaking
Tell us the outcome, the current system, the constraints and the deadline. We will reply with the smallest useful next step.