Industries & Project Examples

Where we focus and what we build: regulated, data-heavy industries and document-intensive workflows — described by project type.

Focus areas

Industries and technologies we work in

Each area shows the typical context and the qualities we design for from day one: security, traceability and reliability.

01

Healthcare & Medical Systems

Software for clinics, hospitals and medical-technology teams where patient data is sensitive and workflows are fragmented.

HealthcareData privacyHL7 FHIR

Typical context

Patient and clinical data spread across disconnected systems
Paper forms, referral letters and test reports that need digitizing
Strict privacy expectations and a need for clear audit trails

What we design for

Role-based access, encryption and detailed access logs
Interoperability with existing records systems through standard interfaces
Digitization of medical documents with human verification of critical fields
Data minimization and clear retention rules
02

Banking & Financial Services

Back-office and customer-facing systems for banks, lenders and fintech teams, where accuracy and traceability come first.

FinTechKYCReconciliation

Typical context

Manual identity-document checks and onboarding paperwork
Reconciliation between systems that disagree
Reporting prepared by hand under tight deadlines

What we design for

Automated KYC document intake with review queues
Transaction reconciliation with exception handling
Immutable audit logs and approval workflows
Dashboards and scheduled regulatory-style reports
03

Insurance & Claims Processing

Tools that speed up claims and underwriting by reading, classifying and routing documents before a person decides.

InsurTechClaimsDocument AI

Typical context

Claims arriving as photos, PDFs and handwritten forms
Slow triage and inconsistent routing
Repeated manual checks for missing information

What we design for

Automatic document classification and field extraction
Completeness checks and clear requests for missing items
Risk and anomaly signals that support, not replace, human judgment
Full case history for every decision
04

OCR & Document AI

Turning scans, photos and PDFs into structured, trustworthy data — including Japanese text, handwriting and tables.

OCRDocument AIJapanese text

Typical context

Mixed kanji, kana and Latin text that generic tools misread
Stamps, handwriting, tables and low-quality scans
Output that needs to match strict downstream formats

What we design for

OCR combined with layout analysis and LLM-assisted parsing
Confidence scoring, with uncertain results sent to a reviewer
Structured export to databases, ERP and accounting systems
Continuous accuracy measurement on real documents
05

Enterprise AI & Knowledge Assistants

Practical AI that works on your own documents and processes, with control over data and cost.

LLMRAGPrivate deployment

Typical context

Knowledge scattered across manuals, contracts and internal wikis
Repetitive inquiries answered by hand
Concern about sending confidential data to external services

What we design for

Retrieval-based assistants that cite their sources
Options for private or on-premise deployment
Guardrails, evaluation and human-in-the-loop for sensitive answers
Usage tracking and cost limits
06

Logistics & Manufacturing

Data and automation for supply chains and production lines that run on tight schedules.

IoT dataForecastingComputer vision

Typical context

Shipment, inventory and production data held in separate systems
Forecasting based on spreadsheets and experience
Visual inspection and document checks done manually

What we design for

Unified data pipelines and live operational dashboards
Demand and inventory forecasting
Computer-vision assisted inspection with human confirmation
Alerts for delays and anomalies
07

Document Conversion Platform (In-House)

Our own product: a multi-format file conversion service that we build and operate ourselves.

GoPythonQueue processing

Typical context

A Go API handling uploads and job management
Python workers using specialized conversion libraries
Resource limits and automatic cleanup of temporary files

What we design for

Predictable performance under load
Isolation between jobs
Low operating cost on modest infrastructure

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