Deep Tech Consulting
A working prototype is not yet a reliable product. We check the code, data, risks, and next steps so your team can move into production.

The hard part starts after the prototype
The research may work. The business risk is in bad data, weak security, broken system links, and work that has no clear owner.

Only a few people know how it works
A small group knows which data to trust and which steps still need manual work. Progress slows because that knowledge is not written down.

Investors need proof, not a demo
A demo cannot prove speed, security, code quality, or how many users the system can handle. Missing proof can delay funding and partnerships.

Research and production use different data
Models, sensors, lab tools, and customer software keep different records. Teams copy data by hand and find problems too late.
Find the risks. Write the next steps
We review the system design, code, data, security, suppliers, and limits before recommending the next build.
You get a short written decision, a plan ordered by risk, and help with the build where your team needs it.
Show what is ready and what is not
Check technical claims against the code, data, hosting, and real working conditions. Write down the risks investors, partners, and your team need to know.
Move beyond the prototype
Separate research code from the live product. Define how systems connect, what happens when they fail, who owns each part, and what must ship first.
Give every team the same facts
Connect models, devices, lab tools, customer software, and reports. Send unclear or failed cases to one named person.
From working demo to reliable product
This is for research and engineering teams with a working prototype and one clear question: Is it ready? What could fail? What should we build next? Who owns it?
[Deep Tech Work](https://deeptech.work/) is our venture for deep-tech founders moving from the lab or first pilot into the market. You can also see it on [our ventures page](/ventures).
Relevant services: Technical Due Diligence, Tech Strategy, Integrations & APIs. See the work →
The technology is special. The delivery problems are common
Deep tech teams still need clear technical choices, trusted data, tested links between systems, and one owner from prototype to production.
Also relevant in your sector: Measurement before the next budget lands, Web relaunch with a number to hit, Workflow automation with named owners.
Adjacent sectors: Technology & SaaS, Startups, Investors.
Ready to talk.Send us the brief.
We are the right fit if you want a team that pushes back when it matters.