The AI-native tech stack, designed & engineered as one.
Karrik is a full-stack, AI-native platform — from the business application all the way down to the execution substrate. Every layer is designed to work seamlessly together and support each other.
The AI-Native Business Platform for the 21st Century.
The stack
Six layers.
One coherent system.
Most AI products bolt intelligence onto a stack that wasn’t built for it. Karrik is designed the other way round — the substrate knows about the model, the model knows about the data, the agent knows about its beliefs, and the app knows about the agent.
- 06Apps
Business applications
Our own AI-native apps plus a platform that lets agents call out to your existing tools, third-party systems and external data sources — no rip-and-replace required.
- 05Agents
Agentic & Symbolic AI runtime
Fleets of AI agent teams performing complex workflows and long-running tasks with human-in-the-loop checkpoints, budget limits on usage, and oversight reviews for governance & compliance.
- 04Beliefs
Agentic beliefs store
A dedicated store for what agents know, believe and remember. Keeps semantic state, learned context and reasoning explicit, versioned and queryable.
- 03Models
Language model execution & hosting
Sovereign, foundational and bespoke models locally hosted and managed within the platform — plus the option to connect your own LLM accounts for commercial hosted models.
- 02Data
Unified memory layer
A multi-model data layer and data store fusing vector, graph, event, temporal, unstructured, and transactional information — governed, observable and shaped for AI workloads.
- 01Substrate
The execution substrate
The low-level OS substrate (CPU & GPU) the rest of the stack sits on — the models, compute, and I/O treated as first-class primitives with AI governance by default.
Governance
AI governance and compliance, built in from the start.
Compliance isn’t a checkpoint at the end of a deployment. Karrik is designed so that policy, auditability and human oversight are woven through every layer — from the substrate to the agent runtime to the application.
Policy by design
Access, data handling and agent behaviour are governed by policy models that live with the data, not outside it.
Observable and auditable
Every action, belief and decision is traceable — giving teams the evidence they need for regulators, auditors and their own assurance.
Human-in-the-loop
Escalation, review and approval are first-class concepts, not afterthoughts. AI does not operate without the right boundaries.
Sovereign control
Choose where models and data live. Connect your own LLM accounts and keep sensitive workloads inside your chosen boundary.
Pilots
Building with a handful of partners.
We’re working closely with a small number of pilot clients to shape the first production release. Every pilot gets direct access to the team, weekly builds, and a real voice in what Karrik becomes.
Principles
What we mean by AI-native.
One system, not six vendors.
Every layer is built by us, for the layer above. No integration tax, no impedance mismatch between the app and the agent.
Agents as citizens.
Agents aren’t a bolt-on. They’re first-class users of the platform with their own identity, memory and governance.
Beliefs and data, separated.
Agentic beliefs and application data are distinct products. Each is optimised for its own workload, while remaining unified under one policy model.