About Tensorglade

Engineers first,
consultants second.

Tensorglade is a software engineering consultancy focused on AI and data. We're a compact senior team that takes products from whiteboard to production — the craft of experienced engineers, the pace of a startup.

Founded and run by engineers. We stay hands-on at every level: architecture, code, delivery. No hand-offs, no black boxes — working software, and a team that stands behind it.

from idea to working MVP
2–4 wks
from idea to working MVP
response time, every time
24 h
response time, every time

How we work

The people you meet on the first call are the people who write the code. We keep the team small and senior on purpose — nothing gets lost between a salesperson’s promise and an engineer’s keyboard.

We demo working software every week, because showing beats reporting. Scope is agreed before code. Every milestone ships with your approval, and payment follows delivery.

The full delivery process is on the homepage — see how a project runs

What we care about

Shipping

Shipping is the point. An elegant architecture that never launches is a failure — we'd rather put version one in front of real users and improve it from there.

Good work

We're the kind of engineers who refactor something because it bothers us. A clean deploy on a Friday afternoon still feels good.

Running what we build

We built makelyricvideo.com because we wanted to see it exist — and we still operate it. We've debugged a pipeline at 2 a.m. so a Monday board report went out on time. That's the job.

The people you'll work with

No account managers in between. These are the engineers on your project.

{{TODO: name}}

{{TODO: role}}

{{TODO: one-line bio in own voice}}

{{TODO: name}}

{{TODO: role}}

{{TODO: one-line bio in own voice}}

{{TODO: name}}

{{TODO: role}}

{{TODO: one-line bio in own voice}}

What we're good at

Proven tools, chosen for your constraints

Data systems, cloud architecture, applied AI. We pick technology for your problem — not for our résumés.

Engineering discipline

Code review, tests, CI/CD, observability. Defaults, not add-ons.

AI that survives production

LLM and RAG systems that hold up against real users and real data — with evaluation to prove it.

Delivery you can plan around

Weekly demos. Honest estimates. Software that ships on schedule.

Success measured after launch

We measure ourselves on what happens once it's live: adoption, reliability, value created.