We design, deploy, and scale AI & ML systems.
Teqners is an AI & machine learning consultancy. From LLM infrastructure to production AI features, automation, and data pipelines — we build intelligent systems that actually run in production, not demos.
Free 30-minute call · We reply within 1 business day.
What we do
Outcomes, not buzzwords
Every engagement is scoped around something you can ship and measure.
AI features that ship
Chat, search, summarization, and agents wired into your product — not a demo, a feature your users actually reach.
You get: Working feature in your codebase + eval harness
Talk to us about this →LLM infra & deployment
Get your models running in production and keep them there: GPU deployment, inference optimization, throughput tuning, and cost reduction on the infra you already use.
You get: Deployed inference stack + cost/throughput report
Talk to us about this →Workflow automation
Replace the manual, repetitive work between your tools with reliable pipelines that run without babysitting.
You get: Automations + monitoring + handover docs
Talk to us about this →Mobile & web apps
Production iOS and web apps built end-to-end, from prototype to release.
You get: Store-ready app + source + release pipeline
Talk to us about this →Data & analytics
Turn scattered data into dashboards and signals your team can act on, with the plumbing to keep them fresh.
You get: Pipelines + dashboards you own
Talk to us about this →AI strategy & prototyping
A fast, honest read on what AI can (and can't) do for you, proven with a working prototype before you commit budget.
You get: Prototype + build plan + cost model
Talk to us about this →Ongoing partnership
Keep shipping after launch. We stay on as your product/AI team for support, iteration, and new features.
You get: Retained team + roadmap + SLAs
Talk to us about this →How we work
A process built to de-risk the work
You see real, working progress before the big commitments — not a stack of slides.
Discover
A short, focused call to understand the outcome you need and whether we're the right fit. No pitch theater.
Prototype
We prove the risky part first with a working prototype, so you see real progress before committing to a full build.
Build
We ship in tight increments you can review, with clean handover-ready code and no black boxes.
Support
We stay on to iterate, monitor, and extend — or hand off cleanly to your team. Your call.
About
An AI & ML team of practitioners
Teqners is an AI & machine learning consultancy. We're practitioners, not a sales org — the same people who scope your project are the ones who build, deploy, and tune it.
We're a small, senior team — no juniors learning on your dime, no account-manager layer between you and the people writing the code.
Work with usWhy teams choose Teqners
We ship
Real, working software — measured by what's live, not decks.
You own everything
Clean source, docs, and pipelines. No lock-in.
Honest scoping
We tell you what's realistic for your budget upfront.
Small & senior
You work directly with the people writing the code.
FAQ
Questions, answered honestly
Do you work with startups and small teams?
Yes. Most of our work is with founders and small teams who need to ship something real quickly. We scope to your budget and prove value early.
How much does a project cost?
It depends on scope, but we start most engagements with a fixed-scope prototype so you can gauge value before a larger commitment. Share your budget in the form and we'll tell you honestly what's realistic.
How fast can you start?
Usually within a week or two. Reach out and we'll tell you our current availability straight — no artificial urgency.
Who owns the code and IP?
You do. We hand over clean source, documentation, and release pipelines. No lock-in, no black boxes.
Can you join an existing codebase?
Yes. We regularly work inside existing products — adding AI features, automations, or capacity to an in-flight roadmap.
Do you help with running and scaling our own LLMs?
Yes. We deploy and maintain LLM infrastructure — getting models onto GPUs, tuning inference for throughput and latency, and cutting serving cost — whether that's your own fine-tuned model or an open-weight model you're self-hosting.
Let's build
Tell us what you're building
Share a few details and we'll get back within 1 business day with honest next steps.