Financial services
Agents that work across onboarding, compliance checks, servicing and reporting - with every decision traceable to the beliefs it was made from, and every action bounded by policy enforced at the substrate.
Solutions
One platform, shaped to how you need to use AI.
Karrik meets you where you are: on the cloud you already run, in the deployment model your policy requires, and at the level of involvement your business needs. Here is how that breaks down - the technical foundations, the industries we build for, and the use cases we start with.
Sovereign AI
AI that stays inside your borders.
Sovereign AI is not a bolt-on in Karrik - it is engineered into the model layer. Open-weight and bespoke models can be hosted and managed entirely within your own environment, so your data, your agents' beliefs and your shared memory never have to leave your jurisdiction. You choose the model supply chain, the hosting boundary and the policy that governs both - whether that is a dedicated cloud region, a single-tenant install, or hardware you own.
- Open-weight and bespoke models hosted inside your own environment
- Data, beliefs and memory held entirely within your jurisdiction
- Your choice of model supply chain - commercial, open or mixed
- Hosting boundaries set by policy, not by vendor default
Industry
Built for the industries that can't move fast and break things.
Karrik is designed for regulated environments, where AI has to be accountable as well as capable. Governance, transparency and auditability are enforced by the platform itself - not left to process and hope - so regulated industries can put AI into real operational workflows with confidence.
Healthcare & life sciences
Sensitive data stays inside the boundary you define, with sovereign model hosting as an option. Workflows gain AI assistance without losing the provenance, consent and audit discipline the sector requires.
Legal & professional services
Matters, documents and client context live in a governed memory layer, so agents assist with research, drafting and triage while every output remains reviewable, versioned and attributable.
Public sector & government
Data residency, single-tenant or on-premise deployment and human-in-the-loop checkpoints make Karrik suitable for services that must be accountable to citizens as well as efficient.
What regulated clients get
Every agent decision traceable to the beliefs and data it was based on
Policy and permission limits enforced technically, not just procedurally
Data residency and jurisdictional boundaries you control
Human-in-the-loop checkpoints on consequential actions
Role-based access across agents, users and services
Replayable, evidence-grade audit trails for review and assurance
Use-case
For SMEs: AI-powered applications, without building a platform.
Most small and medium businesses don't need an AI programme - they need a handful of jobs done better. For them, Karrik is a SaaS: you pick the applications you need, we run everything underneath. No platform team, no infrastructure project, no integration backlog.
Step 01
Pick your applications
Choose the AI-powered applications you need today - from customer support and sales follow-up to quoting, document handling and back-office workflows.
Step 02
We run the stack
The runtime, models, memory, governance and infrastructure are operated by us as a managed service. Your team just uses the applications.
Step 03
Grow when ready
Add applications as new jobs come up, or move to an isolated instance when the business demands tighter isolation, custom policy or bespoke workflows.
Start with one workflow that matters - quoting, support triage, sales follow-up, document handling - and have it running in days, on the same governed platform the largest enterprises use. When the business outgrows the shared install, the path to an isolated instance is already there.
Departmental augmentation
Humans in charge, augmented by agents, collaboration by design.
Your functions work as high-performance pods. Humans set the intent and hold the judgement; agents carry the repeatable work and escalate only what genuinely needs a person.
Around the Karrik Enterprise Brain sit eight departmental pods - Sales & Growth, Finance, Operations and Customer Care, together with Marketing, HR & People, Legal & Compliance and Product & Delivery. Each pod pairs a small human team with its own agents: the people set intent, make the judgement calls and own the relationships, while the agents carry the repeatable work and escalate only what genuinely needs a person. Every pod draws on the same shared brain, so context, memory and governance flow between departments instead of stopping at the first hand-off - nothing is lost between teams.
Hybrid human-AI teams
One agent, many humans - in the same conversation.
A Karrik agent is not a personal assistant locked to one person's inbox. Multiple people can join the same group conversation with a single agent - the humans and the agent working as one hybrid team. Everyone sees the same context and the same progress, so nothing gets relayed, duplicated or lost between private chats.
- Group threads where people and one shared agent work the same problem together
- Anyone in the conversation can brief or steer the agent, in full view of the team
- One shared memory - the agent carries the group's context, not side conversations
- Hand-offs fade away: the whole team and the agent are already up to speed
Technical
The same codebase, whatever your preferred cloud.
Karrik runs on all three major clouds - Amazon, Microsoft and Google - from a single codebase. No forks, no translation layers, no cloud-specific rewrite: the platform you validate on one is the platform that runs on another, so your infrastructure decision stays a commercial one, not a technical lock-in.
AMAZON
AWS
The full Karrik stack runs natively on Amazon Web Services - compute, storage, model hosting and the execution substrate - deployed into your account or ours.
MICROSOFT
Azure
For organisations standardised on Microsoft, Karrik deploys across Azure with the same capabilities and the same codebase - no feature parity caveats.
GOOGLE
Google Cloud
On Google Cloud, Karrik runs end to end, with the option to pair Google's model estate with sovereign open-weight models inside your own boundary.
Deployment models
Your environment, three ways in.
Shared install
A multi-tenant SaaS deployment, managed and operated by us. The fastest way in for teams that want outcomes, not infrastructure.
Isolated instance
We stand up an isolated instance for your organisation - dedicated to you, sized to your workload, and operated under your policy and retention rules.
Dedicated & on-premise
Where regulation or strategy demands it, we explore fully dedicated deployments and on-premise installs, running the same platform on hardware you own.
Which way in suits you?
Tell us about your environment and we'll map the shortest path onto the platform.