EVIDENCE-FIRST AI FOR OPERATORS

Decisions you can defend, built on numbers you can trace.

Mind Bureau builds AI systems that reconcile fragmented data, check every claim against its source and keep uncertainty visible — for exporters and importers, coaching practices, research teams and online stores whose reports drive real decisions.

We start with a pilot on your data. What comes after it — a shared business or the system running in your operation — depends on what the pilot shows.

Start a pilot See the pilots
Evidence flow diagram Four input sources — Public data, Primary sources, Internal data and Domain input — feed a central evidence system that checks provenance, claim verification, contradictions and coverage. One input carries a conflicting signal that is flagged rather than hidden. The evidence system produces decision-ready analysis, with uncertainty exposed rather than concealed. Conflicting signal — flagged, not discarded Public data Primary sources Internal data Domain input Evidence system Provenance Claim verification Contradictions Coverage Decision-ready analysis Uncertainty exposed
How Mind Bureau's evidence system turns fragmented input into decision-ready analysis
Input source Flows into Status
Public data Evidence system Traceable
Primary sources Evidence system Conflicting signal — flagged, not discarded
Internal data Evidence system Traceable
Domain input Evidence system Traceable
Evidence system checks Decision-ready analysis Provenance, Claim verification, Contradictions, Coverage
Decision-ready analysis — Uncertainty exposed

PILOTS

What you can start with now.

Four systems, each at its own stage: the status and the proof so far are on every card. Each starts as a pilot on your data or your question, with a defined scope, and ends with a written report you can act on. Terms are individual, on request.

PILOT AVAILABLE

International trade intelligence

ForManufacturers and exporters looking for buyers abroad. Importers who already supply a product to some customers and want more buyers like them.

We find buyers for your product: specific companies that actually have the need, not a generic company list.

For one market and one product line, the pilot shows which organizations may need it, what evidence supports each one, what contradicts it and what to verify before you reach out.

  • 4,200+companies checked as possible buyers
  • 2,800+ruled out after checking
  • 60+countries represented

Proof so farPilot with a real trade operator, initial value confirmed. Research methodology, source collection, buyer identification and contradiction handling are in active use.

Find buyers for your exports Find more buyers for your imports

If you've never exported

You don't need to know how it works. We find the buyers, and through trusted, experienced partners we organize the rest of the deal: supply, logistics, payments where needed and whatever else it takes.

CLOSED BETA

Coaching session analytics

ForProfessional coaches, coaching practices and schools that want evidence of coaching quality and client progress.

Turns raw session transcripts into structured insight on coaching quality and client progress.

Every insight is checked against the transcript itself: a claim is kept only if a specific quote in the session supports it, and removed otherwise.

  • 2analysis tracks: coach and client
  • 27separate analyses per session
  • 8 + 37ICF competencies and PCC markers checked

Proof so farRunning in closed beta with working coaches, refining the coach and client analysis tracks before wider release.

Request beta access
PILOT AVAILABLE

Scientific research analysis

ForResearch teams, analysts and anyone who has to work through the scientific literature on a hard question.

A fluent literature summary can't show which claims the papers actually support, what was left out or where the evidence runs thin.

Ask a question in plain language. The system searches scientific sources such as PubMed, OpenAlex and Crossref, reads the papers, screens them against explicit relevance criteria and writes an answer in which every claim cites its source. When the evidence isn't there, it says so instead of filling the gap.

  • 157,000+publications screened
  • 4,400+studies extracted into structured data
  • 7,400+exact source passages linked to results

Proof so farRunning end to end on real questions, in active development. Answers are AI-assisted overviews of the evidence, not formal systematic reviews or clinical advice.

Try it on your research question
PILOT AVAILABLE

Revenue leak audit for online store AI chatbots

ForStore and brand owners, COOs, e-commerce directors and heads of digital product with an AI chatbot answering product questions on their site before the sale.

Your chatbot is a salesperson. A false, incomplete or passive answer before the sale means a return, the wrong item or no sale at all. The vendor's dashboard won't show it: it counts resolved conversations, not correct ones.

An outside check of your chatbot: real pre-purchase questions in one product category, repeated across independent sessions. You get the revenue leaks it found, each with evidence from your own catalog and policies, a calculator of what they cost on your numbers, a prioritized fix list and a set of checks to rerun after the fix.

  • 260+online stores scanned for a live AI chat
  • 340+test questions put to live chatbots
  • 25 × 3scenarios × independent sessions in each audit

Proof so farTested on live public store chatbots. Leaks such as an invented price and an available option reported as sold out were proven against the store's own catalog. Full runs on several other stores confirmed no leaks.

Request a pilot for your store

WHY PILOTS FIRST

Why we don't release these systems for open use.

These systems feed decisions where a wrong answer does real harm to a deal, a client or a research conclusion. So nobody gets one to try on their own.

Each system runs as a pilot on a real case, with what counts as proven agreed up front. We check the results, tune the system where it falls short and check again. We call it working only when the pilot has shown it.

HOW A PILOT WORKS

From one report you don't trust to a system you can run.

We don't start from an AI capability. We start from a real workflow where people assemble fragmented information, resolve contradictions and make a decision with material consequences — and we build the evidence layer before automating the answer.

Mind Bureau is founder-led. Specialized AI agents handle research, validation, orchestration and repetitive execution; technical collaborators are brought in for what each system needs; you bring the workflow, the data and a named owner who acts on the result.

Behind every pilot is infrastructure we build and use ourselves: an evidence-first research layer covering source provenance, entity resolution, claim verification, contradiction detection, coverage and explicit uncertainty; a multi-agent panel that stress-tests decisions before they are made; and a versioned knowledge system that keeps facts, decisions and evidence traceable over time.

  1. Scope the decision

    We start from one recurring report or decision you don't fully trust. Together we define the data involved, who acts on the output, the cost of a wrong or late answer and what proven looks like — in writing, before work starts.

  2. Reconcile the data

    We collect the sources, resolve duplicates and entities, and connect every number to the records behind it. Contradictions are flagged, not smoothed over.

  3. Deliver the evidence system

    You get a working system and a written report: the conclusions, the evidence behind each one, what could not be verified and what we recommend. Every path from output back to source can be retraced.

  4. Implement, or build together

    What comes next is decided after the pilot. Where you bring market access, data or distribution, we build a shared business on what the pilot proved and earn together. Where you need the system running in your operation, we implement it and run it with you.

A few pilots at a time, each with the founder in the room.

Pilot terms are agreed in writing before work starts. What we don't do: staff augmentation, outsourced development by the hour, or generic chatbots with no workflow behind them.

WHY EVIDENCE-FIRST

For decisions where plausible is not enough.

Most AI tools are optimized to produce a fluent answer. In a trade deal, a coaching engagement or a research conclusion, a fluent wrong answer costs more than no answer at all.

Everything we deliver is held to a different standard: conclusions must be supported, inspectable and safe to act on. Five rules apply to every system we build.

  1. Traceable evidence

    Every material claim links back to the record or source that supports it.

  2. Verified claims

    The system checks whether the cited evidence actually supports the conclusion being drawn.

  3. Explicit uncertainty

    Confidence, coverage gaps, missing evidence and unresolved contradictions stay visible.

  4. Auditable outputs

    You can inspect how a conclusion was formed and retrace the path from evidence to output.

  5. Abstention by design

    When the evidence is insufficient, the system says so instead of fabricating certainty.

FOUNDER

Founder-led by design.

Mind Bureau is founded and led by Pavel Dmitriev, an entrepreneur and C-level operator with more than 20 years of experience building and developing technology businesses.

Previously, Pavel built a US technology startup that raised $1.2 million and reached more than 1 million users.

At Mind Bureau, he scopes every pilot personally, leads product and business design, and assembles the AI agents, technical collaborators and domain partners each engagement needs.

Message Pavel on LinkedIn Start a pilot

SELECTED FOUNDER TRACK RECORD

  • 20+ years Building and operating technology businesses
  • $1.2M Raised for a US technology startup
  • 1M+ Users reached
WORK WITH MIND BUREAU

Start with a pilot.

Tell us about one report or decision you don't fully trust. We reply within one business day with whether a pilot makes sense, what it would cover and what we would need from your side.

Where a pilot can lead:

  1. Pilot

    A defined scope on your data, ending in a written, evidence-backed report and a decision on what comes next. Terms are individual, on request.

  2. Partnership

    Where you bring market access, data or distribution, we build a shared business on what the pilot proved and earn together.

  3. Implementation

    Where you need the system running in your operation, we implement it, integrate it with your sources and run it with you.

A good fit:

  • A recurring report or decision that people don't fully trust
  • Data that exists but is fragmented across systems, exports or people
  • A named owner on your side who will act on the result
  • Access to the data and to the people who work with it

Not a fit:

  • A generic chatbot idea with no specific workflow behind it
  • Staff augmentation or outsourced development by the hour
  • AI for its own sake, with no economic reason to exist

Our contact form is being set up. Email us or message Pavel on LinkedIn — every message gets a reply within one business day.