Customer Support Manager, AI-First (Remote)
Benefits:
Medical insurance
+3 benefits
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Scalytics
Build resilient, decentralized AI agent systems with Kafka-native infrastructure that ensures private reasoning, infinite state memory, and full auditability.
Starting at
€6,850/mo
About Scalytics
Scalytics provides a specialized infrastructure layer designed to host and orchestrate enterprise AI agents within existing data ecosystems like Apache Kafka, Redpanda, or Confluent. Unlike standard agent frameworks that focus on high-level logic, Scalytics addresses the underlying operational challenges of running autonomous agents at scale. The platform is composed of three core pillars: KafClaw for decentralized agent orchestration, KafScale for durable event-driven memory, and Scalytics Copilot for private LLM execution. By sitting directly on top of the streaming bus, it allows agents to subscribe to topics, reason over real-time context, and publish decisions without requiring a centralized controller. The technical architecture is built for production resilience and compliance. KafScale leverages native S3 tiering to provide infinite state persistence for every agent thought, prompt, and tool call, reducing the total cost of ownership compared to traditional storage methods while maintaining low latency of approximately 200ms. Meanwhile, KafClaw acts as a Policy Mesh, governing agent behavior and tool access while maintaining an immutable cryptographic log of every action. This flight recorder approach ensures that even in regulated industries, autonomous decisions remain transparent and auditable for GDPR and other national requirements. Scalytics is primarily built for AI platform teams, data engineers, and enterprise organizations in highly regulated sectors like finance, healthcare, and government. It is particularly effective for those who already use distributed data platforms like Spark, Flink, or Kafka and need to move away from centralized black box AI architectures. The platform's federated intelligence approach allows workloads to run where the data resides—on-premise or within a private VPC—eliminating the need for risky and expensive ETL processes that centralize sensitive information. What differentiates Scalytics from general-purpose AI tools is its commitment to the compute-to-data philosophy. Founded by big data experts and creators of Apache Wayang, the team prioritizes zero-copy architectures and infrastructure-agnostic portability. By providing an agentic plane that is wire-compatible with major streaming platforms, it allows companies to scale their AI capabilities without replacing their existing foundations or falling into vendor lock-in.
Scalytics pros & cons
Pros
- Reduces total cost of ownership by 90% using S3-native storage for agent state.
- Eliminates central points of failure through a decentralized, broker-heavy orchestration.
- Ensures data privacy by processing workloads locally rather than centralizing in a data lake.
- Supports mission-critical environments with cryptographically secure auditing of AI decisions.
- Allows porting agent components across different frameworks without vendor lock-in.
Cons
- Requires an existing Kafka, Redpanda, or Confluent infrastructure to be useful.
- Most production implementations require high-touch, expensive consulting engagements.
- Primary pricing tiers are targeted at large enterprise budgets rather than individual users.
- Implementation requires deep expertise in distributed systems and data engineering.
Scalytics use cases
- AI Platform Teams can build portable, framework-agnostic multi-agent systems that survive underlying infrastructure changes.
- Compliance Officers in finance can maintain immutable logs of every autonomous reasoning step to satisfy strict regulatory audits.
- Manufacturing Engineers can use streaming intelligence to monitor SCADA systems and detect anomalies in real-time.
- Healthcare Providers can train AI models on patient records within their own VPC without centralizing sensitive medical data.
- Grid Operators can implement edge computing on routers and gateways to optimize energy consumption based on real-time usage.
Scalytics features
- zero-copy compute architecture
- federated execution across spark and flink
- agentic policy mesh governance
- kafka/redpanda wire-compatibility
- immutable cryptographic audit trails
- scalytics copilot private llm execution
- kafscale s3-native infinite memory
- kafclaw decentralized orchestration
Scalytics pricing
Is Scalytics free? No, Scalytics doesn't offer a free plan; pricing starts at €6,850 / month.
Standard Retainer
€6,850 / month
- Monthly architecture office hours
- Slack and email support
- Response time under 24 hours
- Architecture decision records
- Quarterly roadmap reviews
Implementation Engagement
€12,750 / week
- Multi-agent architecture design
- Kafka-first communication patterns
- Agent abstraction frameworks
- Production readiness reviews
- Performance optimization
Premium Retainer
€12,750 / month
- All Standard Retainer features
- Emergency on-call support
- Fractional architect access
- Production incident support
- Hands-on troubleshooting
Architecture Sprint
€18,500 / one-time
- 1 week deep dive
- Infrastructure assessment
- Agentic plane planning
- Persistence strategy
- Private reasoning design
Scalytics FAQs
Does my data leave my corporate environment?
No, Scalytics Copilot enables on-premise LLM execution within your own VPC. This ensures that reasoning stays behind your firewall and sensitive context never hits public AI APIs.
Which streaming platforms are supported?
The platform is fully wire-compatible with Apache Kafka, Redpanda, and the Confluent Platform. It is designed to extend your existing investments without requiring a rip-and-replace approach.
How does Scalytics handle long-term agent memory?
KafScale uses native S3 tiering to store every decision, prompt, and tool call indefinitely. This provides infinite retention at object storage price points while maintaining 200ms latency.
Is there an open-source version available?
Yes, Scalytics maintains a Community Edition available on GitHub. This allows developers to explore the core agentic bus and streaming capabilities before committing to enterprise support.
How does the tool ensure compliance in regulated industries?
The system acts as an AI flight recorder, persisting every message and reasoning step as an immutable event in S3. This generates cryptographically secure audit trails required for GDPR and the AI Act.
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Benefits:
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