Connect with the right permissions.
Define the data, accounts and actions each workflow needs.
AI CONSULTING & ENGINEERING
Build AI
into your
operations.
Connect your data, processes and teams with AI built for the way your business works. Start with a useful iteration. Grow into production.
Explore what we’ve built ↗01 / THE FOUNDATION
Sovereign AI.
Your business. Your control.
We build AI around your data, your models and your deployment boundaries. Four connected foundations take an experiment into everyday operations.
YOUR DATAYOUR MODEL CHOICESYOUR ACCESS RULESYOUR DEPLOYMENT
DATA LAKE / COMPANY KNOWLEDGE / ACTIONConnect business data
Connect business data
to operational decisions.
A governed data lake gives your agents a reliable foundation. A company-specific knowledge graph connects accounts, invoices, orders and people to the decisions your teams make.
How this connects to your existing systems ＋
SYSTEM INTEGRATION
Connect the systems.
Complete the workflow.
We connect your data, business applications and legacy tools so AI can retrieve context, carry out approved actions and return results to the right system.
THE WORKFLOW
Load account context, make the call, record the outcome and pass exceptions to the collections team.
Control what AI can change.
Set validation rules, approval steps and exceptions before writeback.
Keep a record of the work.
Link requests, system actions and outcomes for investigation and review.
Connection methods and permissions are scoped to your environment: APIs, data connectors or robotic process automation.
ISOLATED RUNTIMES / REALISTIC CONTEXTA safe place
A safe place
to try the next idea.
Dev and UAT support releases. AI experiments also need contained runtimes, scoped tools and representative data—across voice, ticketing, coding and analysis.
VOICE / TOOLS / APPLICATION STATECoordinate the moment.
Coordinate the moment.
Carry the context.
A conversation is only one part of the work. Coordinate speech, model responses, tool results, retries and handoffs while the business process stays consistent.
AI DEVOPS & INFRASTRUCTUREFrom a working version
From a working version
to a dependable fleet.
Automate delivery and operate across the environments your business requires. Track uptime, serving cost and capacity as workloads grow.
02 / BUILT FOR REAL WORK
Products built so far.
Explore the work through interactive examples.
From customer conversations to operational decisions.
Explore our products
OPERATIONAL INTELLIGENCEA dashboard that
A dashboard that
works with you.
Connect business apps, databases, APIs or files to your workspace. Talk to an agent about what needs attention, or create a dashboard for your role. Your company knowledge graph connects each view to its records, owners and definitions.
PROCESSES / AGENTS / AUTOMATIONSWhen conditions change,
When conditions change,
the workflow adapts.
Create processes with Camunda, integrate agentic tasks, and monitor each outcome. See a supplier delay activate a governed alternative path, with people approving the consequential change.
RPA / AGENTIC CORRECTIONSWhen something is off,
When something is off,
the agent notices.
Automate application screens where APIs are unavailable. When a field moves or a value doesn’t match, an agent inspects the difference, corrects it when exactly one answer fits, and holds the work with evidence when it doesn’t.
SIMULATIONS / CONTROLLED REPLAYFind the failure.
Find the failure.
Before your customers do.
Put your agent through slow tools, interrupted conversations and uncertain outcomes. Replay the same conditions against two versions, then inspect the behaviour and the state they leave behind.
Try the ordering workflowGuided text demo ↗
Choose an ordering exampleUse suggested replies or supported text commands.
Build a sample order.
Ordering agent · guided text demoBUILD YOUR BASKET
Try a suggested reply or a simple cart command.
Changes in the conversation appear in your cart.Sample catalog · INR · no live availability
ILLUSTRATIVE PREVIEW
Interact with the product example
03 / HOW WE DELIVER
Move quickly.
Build for production.
Start with a focused, working iteration. Evaluate it with your team, connect it to real operations, then scale what proves useful.
BUILT WITH YOUR OPERATIONS TEAM
Plan your engagement ↗An iterative vision, grounded in your operations. Each release improves the system; deployment, monitoring and infrastructure grow with it.
01SCOPE & SUCCESS CRITERIADefine the workflow and its limits.
Agree what AI should handle, what people retain and how success will be measured.
Define the workflow and its limits.
Agree what AI should handle, what people retain and how success will be measured.
WHAT YOU RECEIVE
- Workflow and exception map
- Data, access and integration requirements
- Acceptance criteria and a scoped pilot
COLLECTIONS EXAMPLE
Separate unanswered calls, disconnects and promise dates from cases that need a human agent.
DECISION TO PROCEED
The workflow, system access and human responsibilities are agreed.
02PROTOTYPE & EVALUATIONProve the critical workflow.
Test the behaviour that matters before extending the implementation.
Prove the critical workflow.
Test the behaviour that matters before extending the implementation.
WHAT YOU RECEIVE
- A working prototype of the core workflow
- Representative scenarios and an evaluation rubric
- Failure findings and prioritised changes
VOICE ORDERING EXAMPLE
Use simulated conversations and an LLM judge to inspect ordering failures and distinguish agent errors from test or judge issues.
DECISION TO PROCEED
Results meet the agreed pilot criteria; remaining gaps are documented.
03INTEGRATION & RELEASE READINESSValidate the complete process.
Connect the surrounding systems and test actions, exceptions and handoffs together.
Validate the complete process.
Connect the surrounding systems and test actions, exceptions and handoffs together.
WHAT YOU RECEIVE
- Connected workflows and validation checks
- End-to-end test evidence and exception handling
- A staged release and rollback plan with operational owners
LEGACY AUTOMATION EXAMPLE
Compare a saved invoice with the source before completing the work item. Hold mismatches for a person to review.
DECISION TO PROCEED
The team can verify outcomes, handle failures and approve the release.
04MONITORING & IMPROVEMENTMake production feedback actionable.
Connect service health and task quality to a repeatable review process.
Make production feedback actionable.
Connect service health and task quality to a repeatable review process.
WHAT YOU RECEIVE
- Uptime, serving cost, capacity and task-quality monitoring
- An annotation or simulation feedback workflow
- Regression checks for candidate changes
VOICEBOT RELIABILITY EXAMPLE
Review end-of-turn timing, TTFT and TTFB alongside call evidence. Annotate failures, evaluate changes and compare results before release.
ONGOING REVIEW
Each proposed improvement has evidence, an owner and a validation step.
Start with a focused pilot or a defined stage. Deliverables and ongoing support are agreed for each engagement.
WORK WITH US
Let’s improve how
your business works.
Automate a manual process, improve customer service, or make an existing AI system more reliable. Tell us what needs to change—we’ll help define the next step.