PRODUCTS
Four ways to put AI to work.
Each product line ships as a production system in your environment — not a demo, not an API key and a wish. Here is exactly what each one is and where it fits.
AI Agents
Autonomous execution, wired into your systems
Agents that plan, call tools and execute multi-step workflows end to end — running unattended against your real systems, with approvals and audit trails where they matter.
- LATENCY
- Seconds to minutes per task
- DEPLOYMENT
- Your cloud, our cloud, or on-prem
- TIMELINE
- 6–10 weeks to production
CAPABILITIES
- Planning and decomposition across long-running tasks
- Native tool and API calling against your internal services
- Retry, fallback and escalation policies per workflow step
- Approval gates for any action you choose to supervise
- Structured audit logs for every decision and tool call
- Evaluation harness to catch regressions before deploy
Back-office operations
Reconcile records across ERP, CRM and finance systems, flagging only the exceptions a human needs to see.
Customer operations
Triage inbound requests, gather context from internal systems, and draft or execute the resolution.
Engineering workflows
Automate migrations, dependency upgrades and compliance checks across large codebases.
WHAT YOU GET
- Deployed agent running in your environment
- Tool integration layer for your internal APIs
- Evaluation suite and regression benchmarks
- Observability dashboard and alerting
- Runbook and team handover
Fine-tuned Models
Models that speak your domain
Domain-specific models trained on your data, measured against your benchmarks, and deployed on infrastructure you control.
- LATENCY
- Sub-second inference
- DEPLOYMENT
- Your VPC or dedicated hosting
- TIMELINE
- 8–12 weeks to production
CAPABILITIES
- Dataset curation, cleaning and labelling pipelines
- Supervised fine-tuning and preference optimisation
- Task-specific evaluation suites with your domain experts
- Quantisation and serving optimisation for cost control
- Versioned model registry with rollback
- Continuous retraining as your data grows
Document understanding
Extract structured data from contracts, claims and filings with domain-specific accuracy.
Classification at scale
Route, tag and prioritise high volumes of records using your own taxonomy.
Specialist copiloting
Assist experts with drafting and review in language that matches your internal standards.
WHAT YOU GET
- Trained model weights and serving endpoint
- Training and evaluation datasets
- Benchmark report against baseline
- Retraining pipeline and documentation
Voice Agents
Real-time conversation that holds up
Production voice systems with sub-second response times — handling support, scheduling, qualification and internal operations over the phone or in-app.
- LATENCY
- Sub-second round trip
- DEPLOYMENT
- Managed or your infrastructure
- TIMELINE
- 6–10 weeks to production
CAPABILITIES
- Streaming speech recognition and synthesis
- Interruption handling and natural turn-taking
- Warm transfer to human agents with full context
- Telephony integration (SIP, Twilio) and in-app SDKs
- Per-call transcripts, recordings and quality scoring
- Multi-language and accent handling
Inbound support
Resolve routine calls end to end and hand off cleanly when a human is needed.
Outbound qualification
Run structured discovery calls at volume and sync outcomes into your CRM.
Scheduling and reminders
Book, confirm and reschedule appointments without occupying a queue.
WHAT YOU GET
- Deployed voice agent with telephony integration
- Conversation design and prompt library
- Transcript pipeline and QA dashboard
- Escalation paths into your existing contact centre
AI Avatars
Digital humans that carry a task through
Avatars that look, speak and act like people — presenting, onboarding and handling tasks across customer and internal touchpoints.
- LATENCY
- Real-time or batch rendered
- DEPLOYMENT
- Managed service or embedded
- TIMELINE
- 4–8 weeks to production
CAPABILITIES
- Photoreal and stylised avatar generation
- Real-time lip-sync and expression control
- Scripted and fully autonomous conversational modes
- Multi-language delivery with consistent persona
- Web, kiosk and video pipeline delivery
- Brand and likeness governance controls
Onboarding and training
Deliver consistent walkthroughs that adapt to each employee's questions.
Product presenters
Explain and demonstrate products on-site in the visitor's own language.
Internal comms
Turn written updates into presented briefings without a studio.
WHAT YOU GET
- Avatar likeness and persona configuration
- Delivery integration (web, kiosk or video)
- Content pipeline for updates
- Usage and governance guidelines
AT A GLANCE
Which one fits?
The practical differences that usually decide it — latency budget, where the data lives, and how long to production.
| PRODUCT | LATENCY | DEPLOYMENT | TO PRODUCTION |
|---|---|---|---|
| AI Agents | Seconds to minutes per task | Your cloud, our cloud, or on-prem | 6–10 weeks to production |
| Fine-tuned Models | Sub-second inference | Your VPC or dedicated hosting | 8–12 weeks to production |
| Voice Agents | Sub-second round trip | Managed or your infrastructure | 6–10 weeks to production |
| AI Avatars | Real-time or batch rendered | Managed service or embedded | 4–8 weeks to production |
PRODUCT FAQ
How this actually works.
Which foundation models do you build on?
Whichever fits the task, your latency budget and your data constraints — including open-weight models we can host entirely inside your environment. We are not tied to a single vendor and will explain the trade-offs before committing.
How do you stop agents doing something harmful?
Scoped permissions per tool, approval gates on any action you choose to supervise, hard limits on irreversible operations, and an audit log of every decision. You decide where autonomy ends.
How do you measure whether a model is good enough?
We build an evaluation suite with your domain experts before training, so 'good enough' is defined in your terms and measured continuously rather than argued about after launch.
Can these run without sending data to a third party?
Yes. Open-weight models deployed in your VPC or on-premise keep inference entirely inside your perimeter, with no external API calls.
Let's build something fast.
Tell us what you're trying to ship. We'll come back with a scope, a timeline and a working plan — usually within a week.