In-house products

Products we build, run, and stand behind.

Alongside client delivery, we develop our own AI products—applied systems that show how we think about agents, quality, and support at production scale.

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Conversational voice

Voice AI Agent

Real-time voice conversations that resolve, not deflect.

A production-grade voice agent that speaks and listens in real time across phone and web. It understands intent, answers from your own knowledge, acts in the systems behind the conversation, and hands off to a person with full context the moment a call needs one.

Discuss Voice AI Agent

What sets it apart

Streams, not turns

Listening, reasoning, and speaking overlap in real time, so conversations feel natural rather than walkie-talkie.

Acts mid-call

It doesn't just answer — it updates records, books, and completes tasks in your systems while the caller waits.

Escalates with context

When a person should take over, the transfer carries the full transcript and case, not a cold restart.

Live call signal pathStreaming

Signals in

Telephony & WebRTC ingress

PSTN · SIP · browser

Streaming transcription

Low latency · endpointing

Dialog state & turn-taking

Barge-in aware

Reasoning + retrieval

Grounded in your knowledge · policy-aware

Systems out

Natural speech, streamed

Sub-second response

Actions in business systems

APIs · MCP · CRM

Warm handoff & transcripts

Context travels with the call

Sub-second by design — the loop streams continuously instead of waiting turn by turn.

Autonomous quality

Testing Agent

It explores your product, writes the tests, and explains what broke.

An AI agent that builds a working model of your application, generates and maintains tests across UI and API layers, runs them continuously, and turns failures into clear, reproducible reports—so quality keeps pace with delivery instead of trailing behind it.

Discuss Testing Agent

What sets it apart

Self-maintaining

The model and the tests evolve with the app, so coverage never quietly goes stale.

Parallel by default

UI, API, and environment checks run together — not queued behind each other.

Explains failures

Every break comes back clustered, root-caused, and reproducible, not as a wall of red.

Quality operating cycleLatest change passing

Tests that evolve with the product.

The model and test suite are maintained together, so coverage never becomes a snapshot of last quarter’s application.

UI runnerscomplete

API runnerscomplete

A11y checkscomplete

01
Application model
Maps the app, requirements, and existing tests into one living view of behaviour.
Understand
02
Risk-led planning
Derives test cases, data, edge conditions, and priorities from every change.
Plan
03
Parallel execution
Drives browser, API, and environment checks without serial bottlenecks.
Run
04
Behaviour verification
Checks functional output, visual state, accessibility, and data integrity.
Verify
05
Failure triage
Clusters related failures and isolates the most likely root cause.
Diagnose
06
CI/CD reporting
Returns reproducible evidence, artifacts, and trends to the delivery team.
Improve

Continuous by design — every deployment refreshes the model and runs the cycle again.

Autonomous support

Support Agent

Resolves issues end-to-end—and knows exactly when to escalate.

A support agent that answers from your knowledge base, takes real action on tickets and accounts, and resolves everyday issues across chat and email. When a case needs a person, it escalates with a complete summary rather than a cold transfer.

Discuss Support Agent

What sets it apart

One route, every channel

Chat, email, and web all land in the same resolution engine with the same context.

Resolves, doesn't deflect

It answers from your knowledge and takes real account actions, then confirms the outcome.

Hands off case-ready

Escalations arrive with owner, summary, evidence, and history already assembled.

Resolution routing mapRouting active

Channels in

Chat and messaging

Web and in-app

Resolution engine

case context live

Understand and route

intent · urgency · ownership

Retrieve the right evidence

docs · account · ticket history

Reason and take action

tools · policy · approvals

Right outcome

Resolved by the agent

Answer delivered or account action completed in the original channel.

Escalated to a person

Owner, summary, evidence, and conversation history arrive together.

Resolution outcomes feed the knowledge and routing policy for the next case.

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Want one of these adapted to your stack?

We deploy these products into real environments and build new ones. Tell us the problem and we'll shape the right approach.

Talk to our team

Voice AI Agent

Real-time voice conversations that resolve, not deflect.

Testing Agent

It explores your product, writes the tests, and explains what broke.

Support Agent

Resolves issues end-to-end—and knows exactly when to escalate.

Products we build, run, and stand behind.

Voice AI Agent

Streams, not turns

Acts mid-call

Escalates with context

Reasoning + retrieval

Testing Agent

Self-maintaining

Parallel by default

Explains failures

Tests that evolve with the product.

Application model

Risk-led planning

Parallel execution

Behaviour verification

Failure triage

CI/CD reporting

Support Agent

One route, every channel

Resolves, doesn't deflect

Hands off case-ready

Resolution engine

Resolved by the agent

Escalated to a person

Want one of these adapted to your stack?

Products we build, run, and stand behind.

Voice AI Agent

Streams, not turns

Acts mid-call

Escalates with context

Reasoning + retrieval

Testing Agent

Self-maintaining

Parallel by default

Explains failures

Tests that evolve with the product.

Application model

Risk-led planning

Parallel execution

Behaviour verification

Failure triage

CI/CD reporting

Support Agent

One route, every channel

Resolves, doesn't deflect

Hands off case-ready

Resolution engine

Resolved by the agent

Escalated to a person

Want one of these adapted to your stack?