Why regulated AI stalls

In regulated industries, an agent is only deployable when you can prove control: where data was processed, which policy applied, and how every decision was reached. Most programs stall because they copy sensitive data into a central platform and stitch together pipelines no auditor can follow.

Provable decisions

Risk, compliance, and operations teams can only deploy AI they can defend: traceable inputs, controlled execution, and evidence-ready outputs.

Traceability across agents and AI

Evidence trial for DORA, NIS, AI Act

Controlled change and deployment

Data that cannot move

Your regulated systems of record cannot leave the perimeter or be re-platformed on a vendor timeline. The agent runs where the data already lives.

No new copies of sensitive data

Runs on-premise or air-gapped

Reasoning never leaves your network

Pilots that stall at review

The model is the easy part. Getting a governed agent team working with security and compliance into production is the hard part we solve with Lascaris.

Auditable AI, not one-off prompts

Policy enforced at run time

From stalled pilot to controlled rollout

Built on an open, proven foundation

Scalytics builds on Apache Wayang, the cross-platform data processing framework created by our founding team and now an Apache Top-Level Project, and on kafSCALE, our Apache-2.0 Kafka-compatible engine. The agent runs where your data lives, so you deploy AI across regulated industries without moving sensitive data or violating compliance boundaries.

Privacy-first architecture built for regulated systems

Designed for regulated environments where data locality, auditability, and control are non-negotiable



Real-time fraud

An agent watches the transaction stream and flags or holds fraud the moment it appears, writing the decision and the evidence to the record. Runs on your own Kafka.



Alarm triage

An agent watches the live patient monitor stream, separates real clinical events from noise, and routes them to the right nurse. Every suppression is recorded, data stays.



Claims triage

An agent screens incoming claims on the stream, fast-tracks the clean ones and flags the suspicious, with every decision recorded for the regulator. Runs in your own environment.

Fits your existing data infrastructure.

Lascaris connects to your existing streaming platform and systems of record and puts agents into production without extracting sensitive data into new platforms. And if you don't have a Kafka stack yet, Lascaris comes with its own. Either way, you run agents on infrastructure you control.

Connect your streams

Integrate Confluent, Redpanda, or Apache Kafka and your systems of record without migration

Keep data in place

Agents read and act where the data lives, under your existing controls

Run agents in-network

Your own open models execute inside your perimeter, not outside it

Act on the record

Every decision and action is written to an immutable audit log for review

Deploy governed AI across distributed data sources without forced centralization. Keep auditability, data control, and operational resilience from prototype to production.

Control at scale

Standard patterns, governed deployments, less platform sprawl. Reduce operational load while increasing audit readiness.

Reduce Platform Toil

One agent runtime across teams and environments instead of fragile per-team pipelines.

Strengthen Governance

Traceable, repeatable execution so risk, compliance, and clinical governance work from the same evidence.

Ship Controlled Change

Shorten the path from pilot to production without bypassing change control or security boundaries.

Flexible Deployment Options

Choose the deployment model that fits your security perimeter, operational resilience requirements, and internal governance.

On-Premise

Full control inside your existing infrastructure for all your workloads

Air-Gapped

Run disconnected. Reasoning and data never leave the enclave

Sovereign Cloud

European jurisdiction with strong controls for regulated environments

Proven use cases

Deploy AI agents where the data lives, keep control, and put outcomes into production with defensible execution in regulated environments.

Real-time fraud

Flag or hold fraudulent transactions on the live stream, with every decision recorded for the regulator

Network fraud

Detect SIM-swap, subscription, and revenue fraud on live network and CDR streams, with every decision recorded under data-retention rules.

Claims triage

Screen insurance claims on the stream, fast-track the clean and flag the suspicious, every decision on the record

Alarm triage

Separate real clinical alarms from noise on the live monitor stream, with every suppression on the record

Patient monitoring

Watch live vitals where PHI lives and surface the patients who need attention, inside the hospital network

Continuous compliance

Monitor operational streams against policy and catch a breach as it happens, audit-ready for any regulator

Compliance without compromise.

Why regulated AI stalls

Privacy-first architecture built for regulated systems

Designed for regulated environments where data locality, auditability, and control are non-negotiable

Real-time fraud

Alarm triage

Claims triage

Fits your existing data infrastructure.

Connect your streams

Keep data in place

Run agents in-network

Act on the record

Deploy governed AI across distributed data sources without forced centralization. Keep auditability, data control, and operational resilience from prototype to production.

Control at scale

Flexible Deployment Options

Proven use cases

Real-Time Fraud Detection on the Transaction Stream

Better Healthcare Decisions Without Centralizing Data

Bring us your hardest regulated workflow

About Scalytics

The experts in mission-critical data and AI.

Bring us your hardest problem. We'll scope it with you.