AI studio · est. in the open

We design and build production AI agent systems.

Utopik is a studio that ships AI products — and the infrastructure running underneath them. We plant ambitious bets, then engineer them until they hold weight in the real world.

Yeryüzü aşkın yüzü oluncaya dek…

★ Flagship

The platform we're building

One product, and the three capabilities that hold it up. The orchestration layer is the wedge — the rest is what makes it earn trust in production.

The product

Disciplined Orchestration Layer

“Stripe for AI orchestration”

One trusted layer that routes work to the right models, compares the results, and shows the checks before anything reaches the user.

Capability · lever

Frontier-Quality at Self-Hosted Cost

“Costco/Kirkland for AI quality, in proven domains”

Premium-model-class results only where parity is proven, served privately from owned hardware — a lower frontier API bill, and private data that stays home.

Learning loop

Execution-Reward Conductor

“Uber's rating-and-routing loop for AI work”

Dispatches AI work, watches the real-world outcome, and improves from jobs that actually succeed — not from transcripts that merely look tidy.

Enabling layer · dependency

The Enabling Layer

“Caterpillar for the conductor's job site”

The cleaned data and prepared steps — the picks & shovels — the conductor needs to learn from real outcomes.

01

What we do

Four practices, one spine: philosophy-grounded engineering that earns its claims before it ships them.

Products

AI products

Consumer and B2B applications with AI at the core — not a feature bolted on afterward. We carry an idea from first sketch to something people rely on, then keep it standing in production.

In development · preview

Visual agent builder

A canvas for composing AI agents — wiring tools, steps, and logic into systems you can read at a glance. In active development and not yet generally available.

Infrastructure

Self-hosted LLM serving

We run our own model-serving stack instead of living behind a single vendor — keeping cost, latency, and control in our hands, and private data on hardware we own.

Research

Applied research

Quantitative-markets and domain-specific model work — the kind of research that turns into shipped product, not just slides.

02

Selected work

A sample of what we've built, described by what it does.

  1. 01

    AI-native consumer astrology product

    A consumer app built on AI from the ground up — turning each person's birth chart into personal interpretation and day-to-day guidance, in plain language rather than jargon.

    Consumer · AI
  2. 02

    B2B natural-stone marketplace

    A marketplace where AI-powered search matches buyers to the right slabs and blocks and automated quotation prices each deal — compressing weeks of back-and-forth into a fast, clear offer.

    B2B · Marketplace
  3. 03

    Operations & invoicing automation

    An automation layer for a stone exporter that takes the manual grind out of day-to-day operations and invoicing — fewer spreadsheets, fewer errors, faster paperwork.

    B2B · Automation
  4. 04

    Quantitative trading research systems

    Research systems for quantitative markets — turning raw signal and market structure into strategies you can actually test, with rigor before any capital is at risk.

    Research · Markets
  5. 05

    Self-hosted LLM serving stack

    The model-serving infrastructure behind our own products — owned end to end, keeping cost, latency, and private data in-house rather than rented by the token.

    Infrastructure
03

Under the hood

The tools we build for ourselves. The same engineering we ship to others, turned inward — so the lab moves faster and forgets less.

Infrastructure

Orchestration control plane

An internal control plane that coordinates work across our projects and routes each AI task to the right place — keeping many moving parts honest and in sync.

Knowledge

Shared knowledge base

A private layer over our own documents and research, so every project can search what the lab already knows instead of rediscovering it.

Pipeline

Speech-to-text pipeline

Transcription infrastructure that turns hours of audio into searchable, structured text we can actually build on.

On the roadmap

What we're building next

Bringing the visual agent builder toward general availability, and deepening the self-hosted serving and knowledge tooling underneath everything above.

04

Let's build something
worth sitting under.

Have a product, a problem, or a half-formed idea? We read everything that lands.

prometheus@utopik.ai