/ 01.A
Agentic systems
Autonomous multi-step agents that plan, call tools, and complete work end-to-end. We design the loop, the guardrails, the eval suite — and the human-in-the-loop hooks for when the agent should yield.
AI-native software studio · est. 2026
Production software, shipped in a week.
Yodran is an AI-native studio building agentic systems, RAG knowledge platforms, edge AI and voice agents for global teams — production-grade, at a cadence the old industry cannot match.
/ 01 — Capabilities
The full stack of 2026 AI, deployed.
We work across the frontier — from autonomous agents and retrieval systems to on-device inference and real-time voice. Every engagement compresses scoping, design and engineering into days without trading away durability.
/ 01.B
RAG & knowledge platforms
Retrieval-augmented systems over your private corpus — contracts, tickets, code, research. Hybrid semantic + keyword retrieval, citation-grade answers, real-time freshness, no hallucination tolerance.
/ 01.C
Edge & embedded AI
On-device inference for privacy, latency and offline reliability. Quantized open-weight models on Apple Silicon, Qualcomm NPU, NVIDIA Jetson and ARM-class targets — from wearables to industrial.
/ 01.D
Voice & realtime AI
Sub-second conversational agents for support, sales, scheduling and phone-call automation. Streaming speech-to-speech, multilingual, interruption-aware — built on the latest realtime APIs.
/ 01.E
Multimodal applications
Vision, document, audio and video understanding in production. Invoice and contract parsing, visual QA, structured extraction at scale, agentic computer-use where it earns its keep.
/ 01.F
Robotics & embodied AI
Vision-language-action models, manipulation policies and perception pipelines for real-world robots. Sim-to-real on Isaac Sim and MuJoCo; deployment on ROS 2 — from single-arm pick-and-place to fleet-scale teleoperation and humanoid platforms.
/ 01.G
Custom models & evals
Fine-tuning, distillation, and rigorous evaluation. We move you from frontier-API dependence to economically sustainable inference — with eval gates that catch regressions before users do.
/ 02 — How we ship
Idea on Monday. Live by Friday.
The week is the unit — not the sprint, not the quarter. Every engagement is scoped so the production deploy is the Friday after kickoff.
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Brief & scope
A 90-minute call. We leave with a one-page spec, a fixed price, and a calendar invite for the launch demo. -
Architecture & prompts
By Tuesday end-of-day: schemas, system prompts, model selection, deployment target, eval harness. Reviewed by a senior engineer before a single line of production code is written. -
Build & verify
Wednesday and Thursday. We ship daily to staging. You see progress in your inbox each morning, not at a weekly stand-up. Evals run on every commit. -
Production & handover
Friday: production deploy, documented runbook, a recorded walkthrough, the codebase signed over to you. The studio stays on as a paid retainer only if you want it.
/ 03 — Common questions
Answers, without the dance.
The questions every serious buyer asks before sending the brief — answered straight.
How fast can you actually ship a production AI system?
One week from kickoff to production deploy. Brief and scope on Monday, architecture and prompts reviewed Tuesday, build on Wednesday and Thursday, production deploys Friday with full handover. Larger systems are sequenced as multi-week tranches, each ending in a working deploy.
What kind of AI projects do you take on?
Agentic systems, RAG knowledge platforms, voice and realtime agents, multimodal applications spanning vision and document AI, edge and embedded inference, and custom model fine-tuning. We focus on production deployments, not research prototypes.
Which AI models do you use?
Whichever fits the brief. Frontier models such as Claude, GPT and Gemini for reasoning-heavy work; open-weight models like Llama, Mistral and Phi for cost-sensitive or on-prem deployments; specialized models for voice, vision and embeddings. Model selection is decided in the architecture phase, never by default.
Who owns the code?
You do. Full IP transfer on production deploy. Repository, infrastructure, runbooks and prompts are handed over. No vendor lock-in.
What does it cost?
Fixed price per project, scoped against the brief. We send the price with the spec — no hourly billing, no scope creep, no surprises. If the math does not work for you, we say so before either of us spends time.
Do you offer ongoing support?
An optional retainer covers maintenance, eval suites, model upgrades and incremental features. Most clients take a 30, 60 or 90-day light retainer after launch. Continuation is never required.
/ 04 — Start a build
Have an idea? We can ship it Friday.
Send a paragraph. We reply with a one-page spec, a fixed price, and a date. If the math works, we start Monday.
Brief received.
We'll reply within one business day with a one-page spec, a fixed price, and a proposed start date.