REF. MB-2026-HERO · CLASSIFICATION: PUBLIC · STATUS: ACTIVE

We engineer
AI-native
products that
perform.

Mind Bureau is an AI product studio that designs and engineers production-grade intelligent applications — from initial scope through to scaled deployment.

STUDIO SPECIFICATION · MB-2026
SPEC NO. MB-STD-001
VERSION 4.2.0
STATUS ACTIVE
PROJECTS 50+ shipped
TEAM SIZE 12 engineers
DOMAINS 7 industries
ESTABLISHED 2023
RETENTION 98%
SLA ≤ 1 bd response
LAT: 55.7558° N LON: 37.6176° E EST: 2023 ZONE: UTC+3
50+
PROJECTS SHIPPED
3yr
ESTABLISHED
12
TEAM MEMBERS
98%
CLIENT RETENTION
SECTION: STUDIO OVERVIEW · REF. MB-ABOUT
About

Precision-engineered AI products

Mind Bureau operates at the intersection of product design, machine learning, and software engineering. We don't build demos — we build production-grade systems that organisations depend on. Every project is scoped with engineering rigour and delivered with measurable outcomes.

SECTION: PROJECT LOG · REF. MB-PROJ
Project log

Shipped systems

A selection of production systems delivered across industries — all with verified performance metrics.

ID Project Domain Status
MB-P001
Meridian
AI financial intelligence for institutional investors. 10M+ data points/day, sub-200ms latency.
SaaS FinTech LLM
Live
MB-P002
Clause AI
Contract review and risk annotation. 70% reduction in legal review time.
LegalTech NLP
Live
MB-P003
CareNote
Ambient clinical documentation — real-time SOAP notes from physician-patient conversations.
HealthTech STT
Beta
MB-P004
Route IQ
AI dispatch optimisation for last-mile delivery. 23% average fuel cost reduction.
Logistics Optimisation
Live
SECTION: METHODOLOGY · REF. MB-PROC
Methodology

Engagement protocol

01
PHASE-01 · DISCOVERY
Scoping & Feasibility

Domain immersion, data landscape mapping, AI feasibility assessment. We define success metrics before any code is written — and will tell you if the problem doesn't need AI.

02
PHASE-02 · DESIGN
Product Architecture

UX specification for human-AI interaction. System architecture design, data flow diagrams, model selection rationale. All outputs are reviewable artifacts.

03
PHASE-03 · DEVELOPMENT
Iterative Engineering

Two-week sprint cycles with continuous deployment. Working software every iteration. Evaluation benchmarks tracked throughout — no blind spots on model performance.

04
PHASE-04 · DEPLOYMENT
Launch & Handover

Production infrastructure provisioning, observability stack, runbook documentation, and a structured handover to your engineering team — with 30-day post-launch support.

SECTION: CAPABILITY REGISTER · REF. MB-SVC
Capabilities

Service catalogue

A full-spectrum capability set for AI product development — from strategy through to scaled operation.

SVC-001 · STRATEGY
AI Product Strategy

Opportunity analysis, feasibility assessment, build-vs-buy decision frameworks, and a roadmap grounded in real engineering constraints.

SVC-002 · ENGINEERING
LLM Application Development

RAG pipelines, agent systems, tool-use architectures, multi-modal workflows — engineered for production reliability and cost efficiency.

SVC-003 · DESIGN
Product & UX Design

Interface design for AI legibility and trust. Human-in-the-loop patterns, feedback collection UX, and audit-trail interaction design.

SVC-004 · INFRASTRUCTURE
ML Infrastructure

Model serving pipelines, fine-tuning infrastructure, evaluation frameworks, and observability stacks for production ML systems.

SVC-005 · AUDIT
AI System Audit

Independent review of existing AI systems for accuracy, latency, cost, and safety — with a prioritised remediation roadmap.

SVC-006 · EMBEDDING
Team Embedding

Senior AI engineers integrated into your team for 1–3 months to accelerate critical initiatives and transfer engineering practices.

SECTION: CONTACT · REF. MB-CONT
Contact

Initiate an engagement

Whether you have a detailed specification or an early-stage hypothesis — we evaluate all project enquiries. Most engagements begin with a 30-minute scoping call.

PRIMARY CONTACT
hello@mindbureau.io
RESPONSE SLA
One business day
AVAILABILITY
Accepting new projects Q3 2026
FIELD REQUIRED: Full name
FIELD INVALID: Email format required
FIELD REQUIRED: Project brief
TRANSMISSION RECEIVED · REF ASSIGNED · Response within one business day.
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