Your knowledge, made operational.
Connect documents, databases and APIs. Retrieve the evidence that matters and preserve the route back to its source.
- Hybrid retrieval
- Claim-level citations
- Structured context
Context plane
Policy boundary
Execution state
BS / KERNEL 01TRACEABLE
BY DESIGN
BY DESIGN
Operational intelligence · 2026
AI should not be
another tab.
It should understand the operation, move work forward and prove every action. BitSharp builds the system between models and the real world.
Customer operations · concept trace
Resolve a supplier pricing discrepancy before the next catalog sync.
01
Context
✓Commercial terms and current catalog state assembled
02
Reason
✓Variance isolated and remediation plan prepared
03
Control
✓Human approval required before catalog update
Approval gate✓
OutcomeReady for approval
Every input, decision and tool call remains inspectable.
Built in the open. Proven in the work.
01arXiv
publication
publication
09public
models
models
22benchmark
suites
suites
Liveproduction
system
system
The BitSharp approach
The layer between
intelligence and work.
One architecture connects what your organization knows to what it needs to do. Control never disappears into a black box.
Agents that move work forward.
Turn multi-step processes into observable flows across models, tools and systems. Give autonomy clear boundaries.
- Tool orchestration
- Failure handling
- Model routing
Control at every decision.
Keep approvals, evaluation and traceability inside the system. Know what happened, why it happened and who approved it.
- Human approval
- Evaluation loops
- Audit trail
Systems
Built for work
that matters.
Start with one high-value workflow. Design for the wider operation.
Customer operations
AI agents that investigate, resolve and escalate requests across company systems.
Document intelligence
Reliable extraction and validation for contracts, invoices and operational records.
Internal operations
Knowledge systems that answer with evidence and automate the next safe action.
Production case
4,000+ products.
Days become minutes.
A production catalog system turns fragmented supplier data into a consistent, sellable product catalog. The process is repeatable, observable and live.
Explore the deploymentCatalog intelligence Production · live
Inputs
Supplier APIConnected
Product records4,000+
Operational output
Catalog synchronizationAutomated
Import cycleMinutes
Research foundation
We don’t just use models.
We understand what makes them work.
Bielik-Q2-Sharp, research led by BitSharp’s founder and published on arXiv, compares six 2-bit quantization methods across 22 Polish benchmark suites. The artifacts remain public, so every claim can be checked.
Model footprintPublished result
FP16 baseline22GB
→2-bit model3.26GB
BitSharp
Built in Europe.
Designed for global operations.
BitSharp is building a new kind of applied AI company: research-deep, deployment-minded and uncompromising about traceability.
We work where company knowledge meets critical execution. Fast moving AI becomes a system organizations can understand and control.
Start with one operation
Put intelligence
to work.
Bring us a workflow where knowledge, decisions and action need to become one system.
Talk to BitSharp