Document intelligence
Invoices, contracts, reports and forms turned into structured, validated data.
- OCR + layout parsing
- Field-level confidence scores
- Human review queue
Applied artificial intelligence
AI that works inside your operation — not in a demo.
We deploy document intelligence, agents and predictive models connected to your real data, with evaluation and human oversight built in.
- 70%
- documents auto-processed
- 24/7
- agent availability
- 6 weeks
- typical first release
Use cases
Where AI pays for itself first.
We start with one high-volume, measurable process and expand once the numbers prove it.
AI agents
Assistants that answer, qualify and execute actions inside your own systems.
- Retrieval over your data
- Tool calling into your APIs
- Full conversation audit
Predictive models
Demand, churn, failure and pricing signals from your operational history.
- Feature pipelines
- Drift monitoring
- Explainable outputs
How we deploy it
From raw data to a model you can trust.
- 01
Data readiness
We inventory sources, clean them and define what the model is allowed to see.
- 02
Grounding layer
Embeddings, retrieval and business rules so answers stay factual.
- 03
Evaluation
Golden test sets and scoring before anything reaches a customer.
- 04
Guardrails
Permissions, PII redaction, rate limits and escalation to a human.
- 05
Monitoring
Cost, latency and quality tracked per use case in production.
Governance
Autonomy with a brake pedal.
Every AI system we ship is auditable, permissioned and reversible — that is what makes it deployable in regulated operations.
- No training on your data by default
- Every AI action logged and reversible
- Confidence thresholds route to humans
- Model-agnostic — swap providers without a rewrite
Impact
Measured, not promised.
-75%
time spent reading and typing documents.
+35%
lead response rate with always-on agents.
92%
extraction accuracy on structured documents.
0
AI actions without an audit trail.
Want to know where AI actually fits in your business?
Tell us the process that consumes the most hours and we'll map an AI deployment around it.