Yazılım Ar-Ge A.Ş. · Türkiye
One engineering partner for everything you run
We design, build, secure and operate software — and we run our own AI inference capacity. Nine practices, one contract, one team that is still accountable after go-live.
- Build
- Applications, backends, integrations
- Run
- Cloud, DevOps, managed operations
- Secure
- Architecture, review, response
- Think
- AI, automation, our own inference
Capabilities
Nine practices. One accountable team.
Most companies end up with a different vendor for each layer of their stack, and every incident turns into an argument about whose fault it is. We cover the whole thing, so that argument happens in our building instead of yours.
We put language models and machine learning where they earn their keep — inside the workflows your team repeats a hundred times a day. Every agent we ship has a defined scope, an audit trail, and a human who can stop it.
- Agents with tools, memory and hard policy limits
- Retrieval over your own documents, with citations
- Document handling and back-office automation
- Evaluation harnesses, so quality is measured rather than assumed
Software that makes decisions, not just screens.
AI & intelligent automation
We put language models and machine learning where they earn their keep — inside the workflows your team repeats a hundred times a day. Every agent we ship has a defined scope, an audit trail, and a human who can stop it.
- Agents with tools, memory and hard policy limits
- Retrieval over your own documents, with citations
- Document handling and back-office automation
- Evaluation harnesses, so quality is measured rather than assumed
AI agents
An AI agent, doing actual work
Not a chat window. A supervised worker with a queue, a policy boundary and an audit trail — the pattern we ship. Below is a running simulation of four agents processing a pipeline. Switch it to Supervised and nothing moves until you approve it.
Agent operationsdemo
Agents act within policy and log everything.
Agents
Pipeline
Inbound
Aurora Labs
Queued
Cobalt Health
Queued
Qualified
Northwind Retail
Queued
Engaged
Halcyon Freight
Queued
Closed
Activity log
- ▍
00Processed
00Held
04Queued
Simulated data. No real records and no live systems — this is the interaction model, not a dashboard.
Managed AI inference
The computers your AI actually runs on
Every AI feature you ship is, underneath, a request to a machine somewhere holding a model in memory. Most companies rent that machine from whoever is cheapest this week — and inherit their queue, their latency and their privacy policy along with it.
In plain terms
We own the machines. We run open-weight models on GPUs we operate, and serve them over a standard API — including as a listed provider on OpenRouter, the marketplace that routes AI traffic between providers. Point your application at our endpoint and the answer comes back from capacity we control, at a price agreed in advance.
Pick a workload
Your request
Classify a support ticket
Router
Short prompt, short answer. Has to feel instant.
Our capacity
- 8Bfast path
- 32Bbalanced
- 70Bdeep
Response
—Cost you agreed to
Per-token pricing fixed in the contract, not repriced when demand spikes somewhere else in the world.
Latency you own
Dedicated capacity means your p99 is a function of your traffic, not of a stranger's batch job.
A real data boundary
Prompts and completions stay on named infrastructure, with retention you set rather than accept.
No rewrite to adopt
The API is OpenAI-compatible. For most applications, switching is a base URL and a key.
Security
Assume someone is already inside
Perimeter thinking assumes attacks come from outside and stop at the wall. The ones that land arrive through a dependency nobody audited, a token that never expired, or a prompt that talked your own agent into handing over the data. We design for the breach that already happened.
Select a layer
How we work
Short cycles, written decisions, no surprises at the end
Every step below produces something you keep, whether or not you continue with us. That is deliberate: it makes leaving cheap, which is the only thing that makes staying meaningful.
01 / 05
Discovery
Two weeks, fixed price. We read the code, interview the people who maintain it, and write down what is actually true — which is rarely what the documentation says.
You keep
- System and dependency map
- Prioritised risk register
- Written recommendation, including the option to do nothing
Company
FutureIT Yazılım Ar-Ge A.Ş.
FutureIT is an R&D-registered software engineering company in Türkiye. We act as the engineering function for companies that need one, and as reinforcement for the ones that already have a good team and not enough of it.
We are deliberately generalist. A company that only writes application code will hand you a security problem; one that only does infrastructure will hand you an application problem. Covering the stack end to end means those arguments happen inside our building rather than across your procurement process.
We work in small senior teams, we write things down, and we would rather tell you a project is a bad idea in week one than in month six.
R&D status
As a registered Ar-Ge company we run formal research programmes alongside client delivery. The technical reporting, documentation and IP tracking that R&D incentives require are already part of how we work rather than overhead added at the end of a project.
- Legal name
- FutureIT Yazılım Ar-Ge A.Ş.
- Focus
- Software engineering · AI infrastructure · Security
Contact
Tell us what is broken, or what you want to build
Write to us directly. An engineer reads it rather than a sales inbox, and you will get a straight answer about whether we are the right fit — including when we are not.
hello@futureit.aiEnglish or Turkish — both are fine.