5x Time to ValueForensic-Grade Method

Investigative Analytics
for Sensitive Data.

We find the patterns, name the actors, and cite every source.

Productize your data.

Evidence-grade method.

Every finding traces back to the document, record, or transaction it came from.

Built for sensitive data.

On-premise, private cloud, or fully air-gapped. Your data stays with you.

Start with the service. Stay for the platform.

No vendor lock-in. With our analysts in the loop, you get full value without touching the tech.

Problem

Data lakes are data swamps.

The answers are in there. So is everything else: duplicate records, dead-end documents, signals scattered across systems that don't talk.

BCNN goes in, connects the dots across text and numbers, and comes back with source-linked findings and a graph your team can keep querying.

Without BCNN

The manual slog.

  • ×Months of analyst hours on fragmented sources
  • ×Findings with no source trail
  • ×Hidden context stays hidden
  • ×Nothing reusable when the project ends
BCNN Way

Agent-enhanced analysts.

  • 5x faster than your analyst team
  • Every conclusion linked to its source
  • Expert-reviewed report, not raw model output
  • AI agents ready for your next question
Technology

The Networks Notebook.

The Networks Notebook is BCNN's investigation engine. Four parts working together: a graph database, a BI engine for text and numerical data, GraphRAG, and a swarm of AI agents that build and verify hypotheses. It delivers evidence-backed answers, source-linked, ready to inspect and challenge.

Relationship Schema
Project ID: 8821-X
Swipe
EMAIL_LOGTRANSACTIONS.CSVOFFSHORE_REGARCHIVE_FILESREL: J. SMITHINTEL_REP_01.PDFSUBJ: A. VKOVTX: $4.2M [SWIFT]SHELL_CORP_LTDFIND_KYC_FLAG
Identified Entity
LLM Query
Contextual Data

Cross-source relationship mapping

We connect entities, events, documents, transactions, and communications across formats. The invoice in the PDF, the payment in the database, and the conversation in the email get analyzed together.

Analyzed and structured

We identify patterns, anomalies, gaps, and investigative leads even in the most chaotic environments.

Built for sensitive data

Each engagement is designed around the client's confidentiality, data-handling, and regulatory needs. Aligned with GDPR and EU AI Act requirements.

Process

First answers in 3 weeks.

Send us a representative sample of your dataset. In three weeks, we return evidence-backed analysis you can act on - and a clear path to the full investigation.

01
Week 1

Scope & sample

We define the question, agree what "answered" looks like, and ingest a representative sample.

02
Week 2

Connect the dots

We extract entities, relationships, events, and transactions, and build the graph that links them.

03
Delivery

The first package

You receive a structured dataset, the relationship graph, an analysis report with source-linked findings, and access to our AI interface.

04
Next Steps

Scale or investigate further

With the architecture proven on the sample, we scale to the full dataset, deepen the investigation, or hand your team the platform to continue exploring.

Ontology Map
1. Ingestion Sources
scan_004.pdf
legacy_db.sql
incident_report.docx
ERP & CRM
OSINT_report.pdf
behaviour_patterns.csv
financials.xmlPROCESSING
2. Semantic Mapping
Person BPerson ACompany XFRAUD RISK
3. Structured Output
Entity Detected
Fraud Pattern A
Confidence: 98.2%
Identity Resolution
Person A = Person B
Confidence: 96%
Action
Export to SQL
> Download .CSV
Why us

Forensic-grade analytical discipline.

BCNN works on datasets where mistakes have consequences: investigations, disputes, audits, compliance reviews, and sensitive decisions.

Evidence-oriented

Every finding links to the document, record, or relationship behind it. Decision-makers can inspect what backs each conclusion.

Proven in high-stakes contexts

We worked across investigations, media, legal, logistics, corporate intelligence, and financial-crime engagements.

What You Get

  • 1. Structured intelligence datasetSQL/JSON
  • 2. Knowledge graph & relationship mapArchitecture
  • 3. Evidence-backed analytical reportFindings
  • 4. Interactive exploration interfaceAI Interface
Meet Our Founders

BCNN is a hands-on boutique. Senior people stay close to the work, from scoping and methodology to analysis and delivery.

Michał Domański

Michał Domański

CEO

Leads BCNN's investigative work, data governance, and client strategy. The most tech-savvy business person you know.

Paweł Gołąb

Paweł Gołąb

CTO

The architect of the entire BCNN tech stack. Experienced in building air-gapped software for intelligence agencies.

Proven Results

Case Studies.

Logistics

Fraud Detection

SCOPE: Litigation Support

Analyzed driver behavior signals and logistics exchange data to identify anomalous patterns and reconstruct hidden relationships.

Outcome

Detected indicators of a non-compete breach. Findings used to support legal proceedings.

OSINT

Fighting Enemy Disinformation

SCOPE: X/Twitter

Deployed sentiment, activity, and network analysis to map coordinated botnets and troll farms behind disinformation campaigns.

Outcome

Mapped the account networks and amplification patterns behind a specific campaign - disrupting the infrastructure and finding main actors.

Media & TV

Script Continuity Mapping

SCOPE: 1000 Episodes

Mapped characters, relationships, events, and continuity across 1,000 episodes of a long-running series using graph-based analysis.

Outcome

Faster context retrieval for writing teams, fewer continuity errors, and reduced production costs.

Internal Oracle

Corporate knowledge intelligence

Challenge

Unstructured data silos

Outcome

Source-linked answers cited from specific pages and documents.

Forensic Analysis

Intelligence & Investigation

Challenge

Information overload across fragmented sources

Outcome

Timelines, actor maps, and traceable chains of evidence.

Audit & DD

Audit & due diligence

Challenge

Disconnected logs across systems

Outcome

Cross-source verification, entity mapping, and red flags traced to their evidence.

Newsroom intelligence

Investigative journalism

Challenge

Scattered sources across CMS, archives, past coverage, and external data

Outcome

Source-linked story leads connecting your newsroom's archive with external datasets.

Infrastructure

Deploy where your data lives.

BCNN adapts to the client's infrastructure. We work within existing cloud environments, sovereign compute, private data centers, on-premise hardware, or fully air-gapped systems.

Commercial Cloud (BYOC)

Already using AWS, Azure, or Google Cloud? BCNN works within your existing environment, security model, and billing.

Azure / AWS / Google

Sovereign Data Centers

For projects requiring data residency or jurisdictional sovereignty, we deploy on dedicated private compute infrastructure.

Data residency support

On-Premise & Air-Gapped

For highly sensitive datasets, BCNN runs in restricted or fully offline environments. No data leaves the premises.

Fully offline
AI Academy & Workshops

Workforce Enablement.

Data is one part of the equation. People are the other. Transform your teams into active AI power users.

Workshops for both technical teams and executive leadership that ensure long-term adoption of AI.

Curriculum Highlights

Strategic & Technical Tracks

Workflows with AISpecialist
AI governance for leadershipExecutive
GraphRAG and Agentic AITechnical