AI studio: products, tools and solutions for real work

We turn AI ideas
into products that
people actually use

Assistants, document intelligence, automations, integrations. One small team carries your idea from the first sketch to production, in weeks. We build our own products the same way, so we know the method holds.

Start a project See what we shipped

AI suggests, you decide

Nothing we build sends, posts or acts without a person's explicit approval.

One job, done right

Focused solutions that solve one problem well, not platforms that try to do everything.

Your data stays yours

We process what is needed for the task and keep as little as possible. Our privacy approach

What we build

Any AI solution, from a first idea to a system your team relies on.

Most of our work falls into these six areas. If yours does not, write to us anyway: the method is the same.

01

Assistants and copilots

Chat and drafting assistants that follow your team's voice and rules, living inside the tools you already use.

02

Document and media intelligence

Summaries, extraction and search over contracts, recordings, reports and archives, built to respect what the material demands.

03

Workflow automation and agents

Multi-step processes handed to an agent with clear boundaries, and a human approval step wherever it matters.

04

Integrations and extensions

Browser extensions, Slack and workspace apps, APIs. The AI shows up where the work already happens.

05

Evaluation and production hardening

Test sets, quality gates and monitoring, so the system behaves the same on day three hundred as on day one.

06

Consulting and architecture review

Independent advice on where AI pays off, which problems to skip, and how to shape a system before anyone writes code.

How we work

Weeks to a working version, not quarters to a plan.

We do not start with a roadmap. We start with the smallest version a real person would pay for, put it in their hands, and let what happens decide the next step. Some probes become products. Some stop. Both are fine outcomes. And when you need advice rather than a build, we consult.

  1. 1

    Scope

    We sit with the problem, the data and the people who have it. Out comes a one-page plan, and a clear no if AI is the wrong tool for the job.

  2. 2

    Probe

    The smallest useful version, built end to end: interface, model work, infrastructure. Real users, real feedback, a decision grounded in evidence.

  3. 3

    Scale

    What proved itself gets hardened: quality checks, monitoring, compliance. Then a handover to your team, or we keep running it with you.

Our own products

We use the same method on ourselves.

Each began as a probe: one problem, the smallest useful version, live. They are the clearest evidence of what a finished Talakraft build looks like.

MentionDraft

Live

Slack replies drafted in your voice, beside the conversation.

When a message lands in a thread you are watching, MentionDraft writes a short reply that sounds like you and places it in a Chrome side panel. You review it, rephrase if you like, and send it yourself. It never posts unless you tap Send, and never marks the thread as read.

Try MentionDraft

Narys

Coming soon

The outline of any document, recording or link. Nothing kept.

Narys reads what you give it and lays out what is inside: the gist, the points, and the shape of the whole, with a page number or timecode on every line. It only summarizes, so no advice and no chat. Files are processed in the moment and never stored, because the material people need summarized is often the material they cannot hand over.

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Years of designing AI systems for enterprises and startups alike, now focused on one thing: building solutions that hold up in the real world.

The studio

Expertise built in the field, not on slides.

Talakraft draws on deep experience in AI and solution architecture, from enterprise platforms to early-stage products. We know what it takes to move an AI system from a promising demo to something a business depends on, and we build with that end in mind from day one.

One team, whole stack
Interface, model work, infrastructure and evaluation by the same people. Nothing is lost in handover, decisions take an afternoon.
Constraints from the problem
Privacy, residency, tone, approval steps: each build gets the rules it needs, designed in from the start.
A shared toolkit
Skills, prompts, agents and flows we have already proven live in one library, so a new project starts from what the last one taught us.
Honest about outcomes
A probe that does not earn its next step gets stopped, and we will say so. You pay for evidence, not optimism.

Start a project

Tell us about the problem. We will tell you whether AI is the right answer.

[email protected]

A short note is enough: the problem, who has it, and what you have tried. If you only need a second opinion, we also offer consulting and architecture reviews. We reply within two working days.