The sovereign operating system for AI agents

Software that holds the line.

Run autonomous AI on the systems you already operate, with every decision on the record.

Stop handing your operational data to someone else. Scalytics is the sovereign operating system that turns your existing infrastructure into a continuous, verifiable decision fabric. Deploy autonomous agents, enforce policy, and maintain absolute control over every action.

  • Extends Confluent, Redpanda, and Apache Kafka. No rip and replace.
  • Reasoning and data stay inside your network.
  • Apache-2.0 open core. Founded by the original inventors of Apache Wayang.
The sovereign operating system for AI agents

The Operating System for Autonomous Intelligence.

Stop handing your operational data to someone else. Scalytics provides the operating system to turn your existing infrastructure into a continuous, verifiable decision fabric.

The Operational Brain

What makes Scalytics unique?

Isolated agents cannot execute enterprise missions. Complex operations demand a single, synchronized reality. Scalytics fuses your live data streams and historical context into a unified operational brain. This shared environment allows multiple autonomous agents to collaborate, reason over complex tasks, and execute decisions simultaneously. Every agent operates from the exact same baseline, understanding the precise state of your missions and tasks at any millisecond. To sustain this flawless coordination at scale, your agents require perfect, continuous recall.

From Assistants to Operational Actors

Why AI Agents Need This

AI agents are moving from assistants to operational actors. In production, they do not only answer questions; they monitor events, compare options, trigger workflows, and coordinate decisions across teams and systems. Scalytics gives these agents a synchronized operational reality: live streams, historical memory, policy controls, and immutable decision records in one sovereign infrastructure layer.

The Agent Infrastructure Flow

How raw data becomes memorized coordinated autonomous actions.

KafScale
The Hard Drive

Able to ingest millions of events per second from any data source. Retains raw historical streams infinitely on low-cost S3.

KafGraph
The Shared Memory

Expertise streams as a live, collaborative and infinite memory graph. Auto-expires stale facts to ensure fresh data for agent tasks.

KafClaw
The Orchestrator

Acts as the policy mesh for your agent ecosystem. Manages tool permissions and coordinates agents on shared tasks.

AI Agents
The Brain

Your LLMs read the binary graph with near zero latency. They reason about live state and execute tasks securely at scale.

Scale Agents, Not Maintenance

The AI "Flight Recorder."

Infinite Memory. 90% Less TCO.

Stop babysitting brittle frameworks. With KafClaw, your engineers define the policies and tool registries once; the Agentic Bus handles execution, placement, and state recovery. If a broker or an agent fails, the decision stays on the bus - ensuring zero lost context.
Move beyond the AI "Black Box." Scalytics persists every message and reasoning step as an immutable event in S3. Generate cryptographically secure audit trails for every autonomous action, satisfying GDPR and national regulatory requirements out of the box.
Extend your existing Confluent or Redpanda clusters without the "Storage Tax." KafScale uses S3 as primary storage, allowing you to store decades of agent reasoning and state history for the price of object storage. Stateless brokers, permanent memory, zero egress bloat.

The AI Readiness Check takes 3 minutes. The audit turns it into a 90-day roadmap.

The High Cost of Moving Data

Centralization was built for a world where storage was expensive and compute was cheap. Today, the equation has flipped. Moving data is the bottleneck.

Traditional ETL
The "Copy" Tax

Requires replicating data into a central lake. Incurs massive egress fees and creates governance silos.

Cloud Egress Cost $90k / PB
Storage Redundancy 300% (3 Copies)
Engineering Time 50% Maintenance
Weeks Time to Insight
Scalytics Federated
Zero-Copy Intelligence

Leaves data where it lives. Pushes the query plan to the source. Pay only for the compute you use.

Cloud Egress Cost >90% Savings
Storage Redundancy 0% (In-Place)
Engineering Time 90% Innovation
Minutes Time to Insight
* Based on standard AWS/Azure egress rates ($0.09/GB) and industry average data redundancy benchmarks.
Scalytics AI Blocks

There is so much to build.

Scalytics delivers mission critical outcomes for the most demanding customers in regulated and data intensive industries.
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AI Ready Data Views. Where the Data Lives.

From energy to defense, Scalytics brings privacy, scalability, and transparency to the edge by processing data in place instead of exporting it. Learn how in our case pages.

Why Scalytics

Sovereign by design, not by promise.

It stays yours

Reasoning and data never leave your network. Run it fully on-premise or air-gapped, on the infrastructure you already own.

It is on the record

Every agent decision is written as an immutable event, so you can prove what happened and why. Built for GDPR, the AI Act, DORA, and NIS2.

No black box

Open and inspectable, never a sealed system you trust blindly. Verify exactly what runs, keep it as long as you need, with no lock-in.

FAQ

Common questions.

What is Scalytics?

Scalytics is the sovereign operating system for AI agents. Agents subscribe to your Kafka, reason over shared memory, and act across your systems, with every decision written to an audit log. The data stays in your control and the reasoning stays in your network. The core is Apache-2.0. Scalytics was founded by the original inventors of Apache Wayang.

Can I run AI agents fully on-premise or air-gapped?

Yes. Scalytics runs in your own data center, in your sovereign cloud, or fully air-gapped with no outbound connection. The reasoning and data never leave your network. This is the default deployment model, not an add-on.

Do I have to replace my existing Kafka, Confluent, or Redpanda cluster?

No. Scalytics is wire-compatible and extends what you already run, with no rip and replace. If you have no cluster, the Kafka-native engine ships included, so the platform stands up as a single install.

How is this different from an AI agent framework?

AI agent frameworks help developers build agents. Scalytics is the infrastructure those agents run on in production: durable event transport, shared memory, policy enforcement, and an immutable decision record. You keep your framework and run it on Scalytics.

How are autonomous AI decisions kept auditable and compliant?

Scalytics persists agent messages, actions, and decision events as immutable records in S3. This creates a verifiable audit trail of what each agent did, when it acted, and which operational context informed the action. The platform is designed for regulated environments that require traceability, governance, and control.

What is the storage tax, and how does Scalytics avoid it?

Traditional Kafka ties storage to brokers, so keeping long agent history can become expensive. KafScale uses S3 as primary storage with stateless brokers, making it possible to retain long-term agent reasoning, state, and event history using object storage economics.

Is Scalytics open source?

The core components are Apache-2.0 and free to run yourself, including the Community Edition on GitHub. Lascaris is the supported distribution: the same parts, integrated, version-locked, hardened, and maintained under one contract.

Who is Scalytics for?

Scalytics is for teams running mission-critical operations in defense, energy, finance, and critical infrastructure, where autonomous agents must act on live data with full auditability and sovereign control. It is not built for lightweight chatbot or SaaS copilot use cases that do not need private deployment or traceable decisions.

Trusted by Innovators

Scalytics gave us a secure, explainable way to scale private AI models across our organization into multiple European countries — fully aligned with GDPR and the AI Act.
CTO
Chief Technology Officer | Large Travel Agency
Building an efficient and scalable data architecture with Scalytics reduced our development time and costs dramatically. From demo to proof of concept in just 2 days, now I wonder why we waited so long.
SVP Data and AI
Senior Vice President | FinTech Asia
Easy to use API, makes the training of ML pipelines faster as it can run on distributed platforms such as Spark for example.
SVP Data and AI
Senior Vice President | FinTech Asia
What I like the most about this platform is its ease of use. One has to only express the business logic within its API, and then the platform optimizes for the underlying system usage.
Haralampos G.
Research | Gartner Digital Markets
I could execute my Spark job on Flink by changing only one line of code. I also liked a lot the optimizer that can select the platform based on a cost model.
George P.
Engineering Manager | Gartner Digital Markets

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