AI on your mind?
Let’s make it real.
Frontier models.
Real-world usefulness.
Bring the ambitious idea, the awkward workflow or the thing your software cannot do yet. We bring product thinking, design and custom AI engineering to turn it into something you can use.
For founders, growing businesses and teams inside larger organisations. Start with one worthwhile problem. Build the right system around it.
Tell us what’s on your mindConnect your team's approved knowledge.
Define the source material, the task and the people using the system.
More than a chatbot.
A way forward.
Bring us the ambitious brief. From the first feasibility question to a working product, we shape the right engagement around your data, your team and the result that matters.
14 capabilities shown
EnterpriseAI strategy & feasibility
Find the use case worth funding.
- Workflow and opportunity mapping
- Build-versus-buy assessment
- Model and vendor selection
- Cost, risk and rollout planning
The deliverable
A prioritised opportunity map, technical spike and pilot specification.
What we test
A baseline, a testable success criterion and an agreed operating budget.
What it needs
Start with one team, a workflow owner and representative examples. Discovery can conclude that AI is not the right solution.
Discuss this use caseProductAI-native products & copilots
A new capability. A considered experience.
- Customer-facing AI features
- Internal role-specific copilots
- Multimodal product interfaces
- Conversational onboarding and forms
The deliverable
A working product slice, interaction design and a path to integration.
What we test
Task completion, user acceptance, latency and cost per useful result.
What it needs
The model is one part of the product. Permissions, interface states and non-AI fallbacks are scoped with it.
Discuss this use caseOperationsKnowledge & research systems
Make the right answer easier to find.
- Permission-aware internal search
- Document-grounded assistants (RAG)
- Source-linked research briefs
- Policy and support knowledge tools
The deliverable
An indexed knowledge workflow with source references and access controls.
What we test
Retrieval quality, grounded answer accuracy and correct abstention.
What it needs
Requires authorised, maintained source material. Citations help review; they are not a guarantee that an answer is correct.
Discuss this use caseOperationsDocument intelligence
From a pile of files to a reviewable decision.
- Invoice and purchase-order extraction
- Document classification and routing
- Contract comparison for reviewers
- PDF, image and table processing
The deliverable
Structured extraction, validation rules and an exception-review queue.
What we test
Field-level accuracy, exception rate and reviewer time.
What it needs
Humans approve consequential decisions. Legal, financial and regulated use requires qualified domain review.
Discuss this use caseOperationsAgents & connected workflows
Help the work move, with clear boundaries.
- CRM and helpdesk assistants
- Research-to-report workflows
- Approved email and calendar actions
- API, tool and MCP integrations
The deliverable
A bounded workflow with permissions, approval steps and execution history.
What we test
Successful tasks, unsafe-action blocks, retries and recovery time.
What it needs
Writes, messages, purchases and irreversible actions need explicit permission. API integrations are preferred over brittle browser automation.
Discuss this use caseProductConversational & voice experiences
Make software easier to talk to.
- Web and WhatsApp assistants
- Voice-led enquiry and scheduling
- Multilingual support experiences
- Agent-assist summaries and handoffs
The deliverable
A consent-aware conversation flow with escalation to a person.
What we test
Resolution quality, successful handoffs and response latency.
What it needs
Business messaging, telephony, language QA, consent and usage charges are assessed separately. No undisclosed impersonation or unsolicited calling.
Discuss this use caseProductCommerce & customer intelligence
Turn a catalogue into a useful conversation.
- Semantic and visual product search
- Guided discovery and recommendations
- Product comparison assistants
- Support triage and catalogue enrichment
The deliverable
A customer journey connected to approved product and policy data.
What we test
Search success, relevant recommendations and qualified next steps.
What it needs
Availability, prices and offers come from authoritative systems. Transaction actions remain controlled and testable.
Discuss this use caseCreativeCreative production systems
Your product in. A campaign world out.
- Anna AI product imagery pilots
- Brand-guided campaign variations
- Catalogue and social content systems
- Reviewed localisation and adaptation
The deliverable
An art-directed, reviewed asset pack and a repeatable production workflow.
What we test
Product fidelity, approval rate, revision effort and usable output.
What it needs
Rights, likenesses, product details and claims are checked before publication. Publication follows your team’s approval.
Discuss this use caseCreativeContent & editorial workflows
A clear voice, at every touchpoint.
- Website and landing-page copy
- Search-led editorial planning
- Source-grounded content assistants
- Brand voice and review systems
The deliverable
A messaging system, useful content and a human editorial workflow.
What we test
Accuracy, editorial acceptance and qualified reader actions.
What it needs
No fabricated expertise, reviews or bulk search spam. Rankings and revenue are not guaranteed.
Discuss this use caseProductVision & multimodal tools
Work with more than words.
- Image tagging and asset retrieval
- Visual product matching
- Screenshot and document understanding
- Inspection-assist prototypes
The deliverable
A task-specific prototype tested on a representative labelled sample.
What we test
Precision, recall and error patterns across real operating conditions.
What it needs
Data quality and domain expertise determine feasibility. Safety-critical inspection, surveillance and biometric use need additional specialist review.
Discuss this use caseOperationsAnalytics & predictive applications
Make information easier to act on.
- Natural-language reporting
- Forecasting feasibility studies
- Demand and inventory decision support
- Anomaly detection and review
The deliverable
A validated analytical workflow with traceable calculations and baselines.
What we test
Performance against a simple baseline, drift and decision usefulness.
What it needs
Requires suitable historical data and a domain owner. Predictions are uncertain; material business decisions remain reviewable.
Discuss this use caseEnterpriseModel adaptation & private deployment
Choose the smallest system that does the job.
- Model comparisons and routing
- Task-specific fine-tuning assessment
- Open-weight model feasibility
- Private cloud and data-boundary design
The deliverable
A benchmark, deployment recommendation and scoped implementation plan.
What we test
Quality, latency, access requirements and total operating cost.
What it needs
Fine-tuning and self-hosting are justified by evidence, not sold by default. GPU infrastructure and specialised model work are separately scoped; no foundation-model research claim.
Discuss this use caseEnterpriseAI evaluation & production hardening
Know where it works. Know where it breaks.
- Task-specific evaluation datasets
- Prompt-injection and misuse testing
- Monitoring, budgets and rate limits
- Fallback, rollback and incident design
The deliverable
An acceptance suite, operational controls and a documented release checklist.
What we test
Regressions caught, failure recovery and cost per accepted result.
What it needs
Controls reduce risk; they do not make an AI system infallible. Independent audits or certifications are separate specialist engagements.
Discuss this use caseEnterpriseTeam enablement & adoption
Give your people a system they can own.
- Leadership opportunity workshops
- Role-specific working sessions
- Approved-tool and data guidance
- Handover, playbooks and training
The deliverable
Practical workflows, documentation and a team-ready handover.
What we test
Adoption, independent task completion and supported exception handling.
What it needs
Training is grounded in your work and policies. Organisation-wide change programmes require the appropriate internal owners and agreed capacity.
Discuss this use caseStart with a sharp brief.
Not a vague transformation.
A paid feasibility engagement
Map the workflow, inspect a permitted data sample, agree the evaluation and estimate total ownership cost. Leave with a pilot scope or a clear reason not to proceed.
One bounded pilot
Build a working slice with representative users and data. Measure quality, review effort, failure recovery and cost before deciding what earns a rollout.
A considered production handover
Agree access controls, monitoring, escalation, documentation and ownership. Ongoing support, service levels and specialist requirements are contractual, not assumed.
Ambition, with the important details attached.
We select the right models, integrations and infrastructure for your workflow. Each engagement defines usage costs, access, review checkpoints, support and ownership before delivery.