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 clinics, exporters, coaching practices and ad teams 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

SELECTED FOUNDER TRACK RECORD

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

PILOTS

What you can start with now.

Four systems, each built and tested with a real operator. Each starts as a pilot on your data with a defined scope and ends with a written report you can act on. Terms are individual, on request.

PILOT AVAILABLE

Dental operations analytics

ForClinic owners and managing partners who run the practice on monthly management reports.

Reports built from practice-management and finance exports look reliable and are often materially wrong: duplicated records, inconsistent entries, misread fields.

The pilot reconciles your financial and practice-management data, connects every reported metric back to the underlying records, and hands you a report of what holds, what doesn't and why.

Proof so farPilot with a working clinic, value confirmed. The reporting distortions it surfaced are the reason every Mind Bureau system now traces numbers to records.

Discuss a pilot for your clinic
PILOT AVAILABLE

International trade intelligence

ForManufacturers, exporters and trade operators deciding where to spend commercial effort next.

Generic company lists and market summaries don't tell you who actually has the need, or what would prove it.

For one market and one product line, the pilot builds traceable commercial hypotheses: where demand may exist, which organizations may have the need, what evidence supports it, what contradicts it and what to verify before you act.

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

Discuss a pilot for your export line
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 — no questionnaires, no scoring rubrics.

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.

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

Ask about the beta
AVAILABLE NOW

Meta ads account audit

ForAgencies and in-house performance teams responsible for Facebook and Instagram spend.

Dashboards hide account and campaign-level problems that are easy to miss when you read them by eye.

Send an export of the ad account; you get back a structured audit with prioritized findings instead of a raw metrics dump.

Proof so farUsed in practice against live Meta ad accounts.

Request an account audit

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 clinic's monthly numbers, an export deal or a coaching engagement, 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
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.