Kafka-Native Superintelligence Infrastructure

Run Autonomous Agents on Live Data Streams.

Offload agent memory to low-cost S3.
Cut streaming storage overhead by 90%.

Don't pay premium broker storage fees just to give your AI agents long-term historical context. Scalytics Lascaris extends Confluent, Redpanda, and Apache Kafka with a Kubernetes-native AI operating system for infinite memory, zero data loss, and cryptographic auditability.

  • IBM Implementation & Architecture Partner
  • Kubernetes-native engine extending Confluent, Redpanda, and Apache Kafka
  • Cryptographically secure S3 audit trails for every autonomous action
Run AI on live data. Cut egress fees by 90%.

The Operating System for Autonomous Intelligence.

The Kafka-native engine that brings compute directly to your data. Stop paying the cloud storage tax.

Scale Autonomous Agents Without the Black Box

Standard AI agent architectures lose context during failures and inflate streaming storage costs. Scalytics Lascaris gives your agents infinite memory directly on S3 object storage.

Standard Agent Frameworks
The "Black Box" Agent

Agents run statelessly or store context on expensive streaming broker disks. If a node fails, agent context is lost forever, breaking enterprise auditability.

Memory Storage Cost High (Broker Block SSD)
Decision Auditability Opaque (Black Box)
System Failure Impact Context Lost Permanently
High Risk Operational Bottleneck
Scalytics Lascaris
The Agent Operating System

Agents share an infinite memory graph stored directly on low-cost S3 object storage. Every decision is cryptographically logged with zero context loss.

Memory Storage Cost Ultra-Low (S3 Object)
Decision Auditability 100% Cryptographic
System Failure Impact Zero Context Loss
90% Lower Memory TCO
Interactive Benchmark

Stop Guessing. Get Your AI Architecture Score in 45 Seconds.

Evaluate your streaming data stack, agent memory efficiency, and cloud storage overhead before scaling to production.

The Operational Brain

A Single Synchronized Reality for Autonomous Agents

Isolated agents cannot execute complex enterprise missions. Scalytics fuses your live data streams and historical context into a unified operational brain. Multiple agents collaborate, reason over complex tasks, and execute decisions simultaneously from the exact same baseline.

From Assistants to Operational Actors

Built for Reliable Agentic Production Execution

Production AI agents must do more than answer queries; they monitor events, evaluate policy, and trigger actions across systems. Scalytics equips your agents with live streaming context, infinite S3-backed memory, policy controls, and immutable audit logs in a single sovereign infrastructure layer.

The Agent Infrastructure Flow

How raw event streams transform into coordinated, auditable agent actions.

KafScale
Stream Storage Engine

Ingests millions of events per second from Kafka or Redpanda. Offloads raw historical streams infinitely to low-cost S3 storage.

→
KafGraph
Shared Memory Graph

Converts raw streams into a live, collaborative memory graph. Provides agents with continuous shared state and automatically expires stale context.

→
KafClaw
Policy & Governance Mesh

Enforces zero-trust policy controls, manages tool permissions, and coordinates agent handoffs across shared tasks.

→
Autonomous Agents
Execution & Audit

LLM agents query the shared graph with near-zero latency, execute automated workflows, and log cryptographically signed decision records.

Orchestration & Governance

Scale Agents, Not Maintenance

Stop babysitting brittle frameworks. With KafClaw, your engineers define policies and tool registries once—the event bus handles placement, execution, and state recovery. If a broker or agent fails, decision state remains on the bus for zero lost context.

Cryptographic Auditability

The Autonomous "Flight Recorder"

Move beyond opaque AI black boxes. Scalytics persists every message and reasoning step as an immutable event in S3. Generate cryptographically secure audit trails for every action, satisfying GDPR, SOC2, and enterprise compliance requirements out of the box.

Storage Efficiency

Infinite Memory. 90% Lower Storage TCO.

Extend your existing Confluent, Redpanda, or Apache Kafka clusters without the broker storage tax. KafScale uses low-cost S3 as primary storage—allowing you to retain decades of agent memory and historical state for object-storage prices.

Scalytics AI Blocks

Mission-Critical Superintelligence
for High-Stakes Operations.

Where data sovereignty and uptime are non-negotiable. Defense ministries, energy grids, and Fortune 500 financials trust Scalytics to run autonomous agents securely on the edge.
View Use Cases

Process data where it lives.

Scalytics brings sovereign AI agents to the edge with total privacy, low-cost memory, and zero cloud data export.
Read our enterprise case studies.

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 Lascaris?

Scalytics Lascaris is the cloud-native, Kubernetes-first operating system for autonomous AI agents. It combines stream storage (kafScale), a dynamic memory graph (kafGraph), policy governance (kafClaw), and federated compute (Apache Wayang) into a unified enterprise distribution. Agents subscribe to your live event streams, reason over shared S3-backed memory, and execute actions across systems with every decision cryptographically logged.

Can I run Scalytics Lascaris on Kubernetes across AWS, Azure, GCP, IBM Cloud, Oracle, or air-gapped?

Yes. Scalytics Lascaris is containerized and cloud-native, engineered to run on any Kubernetes cluster (EKS, AKS, GKE, IKS, OKE, Red Hat OpenShift, or bare-metal K8s) wherever your data resides: inside AWS, Azure, Google Cloud (GCP), IBM Cloud, Oracle Cloud Infrastructure (OCI), on-premise data centers, or fully air-gapped environments. As an official IBM Architecture & Implementation Partner, we also offer certified enterprise deployments with built-in DORA, NIS2, and GDPR compliance.

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

No. Scalytics Lascaris is wire-compatible and integrates seamlessly into your existing Kafka, Confluent, or Redpanda infrastructure with zero rip-and-replace. It extends your current streaming backbone with an intelligent agent operating layer.

How is Scalytics Lascaris different from an AI agent framework?

Agent frameworks (like LangChain, AutoGen, or LlamaIndex) help developers write agent logic. Scalytics Lascaris is the Kubernetes-native operating system those agents run on in production—providing durable event transport, shared memory graphs, tool policy enforcement, and an immutable decision record. You keep your framework and run it on Lascaris.

How are autonomous agent decisions kept auditable and compliant?

Scalytics Lascaris persists every agent message, tool call, and decision step as an immutable event in low-cost S3 object storage. This creates a cryptographically secure, verifiable audit trail proving what each agent did, when it acted, and the exact context that informed the decision—meeting strict standards for GDPR, the EU AI Act, DORA, and NIS2 compliance.

What is the "storage tax", and how does Scalytics Lascaris lower storage costs by 90%?

Traditional streaming architectures tie event history to expensive broker NVMe/EBS disks, making long-term agent memory cost-prohibitive. Scalytics Lascaris leverages kafScale to offload historical streams and agent context directly to low-cost S3 object storage while keeping brokers stateless—slashing streaming storage TCO by 90% without losing state.

Is Scalytics Lascaris open source?

Yes. The core architectural components (kafScale, kafGraph, kafClaw, Apache Wayang) are open source under the Apache-2.0 license. Scalytics Lascaris Enterprise is our commercial distribution: version-locked, hardened, operator-managed for Kubernetes, and backed by single-contract SLAs and expert architecture support.

Who is Scalytics Lascaris for?

Scalytics Lascaris is for enterprise engineering, data, and security teams in defense, finance, energy, and critical infrastructure where autonomous agents must act on live data with zero context loss, Kubernetes elasticity, and strict compliance. It is engineered for high-stakes operational execution, not basic Q&A chatbots or copilots.

Stop Wasting Budget on Theoretical AI Concepts

Most enterprise AI initiatives die in endless consulting PoCs and million-dollar advisory decks. Scalytics Lascaris gives engineering teams the production infrastructure to deploy sovereign agents directly on live Kafka streams in weeks, not years. Run our free 45-second diagnostic to pinpoint your data bottlenecks and calculate your exact storage savings.

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
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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
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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
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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.
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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.
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Engineering Manager | Gartner Digital Markets