AI & Machine Learning
AI Integration & Automation
Add AI features that feel native to your product. We ship assistants, search, and automations that are grounded in your data, measurable in quality, and ready for production. AI delivery with product-safe UX: guardrails, evals, and clear fallbacks (UK/EU overlap (GMT/BST-friendly)).
Benefits
What you get
Model-agnostic (OpenAI, Claude, Bedrock)
RAG knowledge bases with citations
Tool calling + workflow automation
Document parsing & structured extraction
Voice + vision features when needed
Evaluation, monitoring, and iteration
Features
What we deliver
AI Assistants (In-Product)
Chat and command interfaces with memory, tool calling, and safe fallbacks—designed for real user workflows, not demos.
RAG Knowledge Bases
Retrieval systems that answer from your docs with citations, excerpts, and permission-aware access when required.
Workflow Automation
Automate ops and support tasks using structured prompts, function calling, approvals, and audit-friendly logs.
Document Intelligence
Extract data from PDFs, forms, and unstructured content—normalize it into clean JSON your systems can use.
Voice & Vision
Speech-to-text, text-to-speech, and image understanding for voice notes, call summaries, or visual inputs.
Quality & Safety Layer
Evals, regression tests, red-team scenarios, and analytics so accuracy improves over time and failures are visible.
Process
How we work
Discovery
Requirements gathering and planning
Design
UI/UX design and prototyping
Development
Iterative sprints with demos
Launch
Deployment and support
Tech Stack
Technologies we use
Core
Tools
Services
Use Cases
Who this is for
Customer Support
Grounded assistants that answer from your help center and tickets, with human handoff and low-confidence fallbacks.
Internal Knowledge
Search + Q&A across SOPs, wikis, and docs so teams find answers fast—with citations and access control.
Ops Automation
Summaries, routing, tagging, and structured extraction that reduce manual work while keeping reviews in the loop.
Product Intelligence
Natural language queries over product data, dashboards, and events—turning metrics into decisions.
FAQ
Frequently asked questions
Timeline depends on scope. MVPs typically take 8-12 weeks, while larger projects can take 4-6 months. We provide detailed timelines during the estimate phase.
We offer both fixed-price and time-and-materials pricing. Fixed-price works best for well-defined projects, while T&M is ideal for evolving requirements.
Yes, we offer maintenance packages including bug fixes, security updates, and feature enhancements after launch.
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Regional
Delivery considerations for your region
Compliance & Data (UK/EU)
For UK teams, we default to GDPR-first thinking: data minimisation, purpose-limited storage, and clear access boundaries.
We can work under a DPA (template available on request) and implement practical retention/deletion flows when needed.
- GDPR-first patterns (minimise, restrict, document)
- DPA template available on request
- Retention/deletion and export flows where required
- Least-privilege access and secure session handling
- PII-safe logging + secure-by-default configuration
- NDA available for early-stage discussions
Timezone & Collaboration (UK/EU)
We align to UK time and EU overlap (GMT/BST with CET-friendly windows) for fast feedback cycles.
We keep the process lightweight: async updates, clear priorities, and written decisions to avoid ambiguity.
- UK/EU overlap with GMT/BST windows
- Async-first delivery with documented scope
- Weekly milestones and structured demos
- Clear escalation path for blockers
- Tight change control with clear sign-offs
Engagement & Procurement (UK)
We support typical UK procurement flows with clear scopes, change control, and invoice cadence.
If you prefer a discovery-first engagement, we can run a short paid discovery to lock requirements before build.
- GBP-based engagements and invoicing options
- Discovery-first option to reduce delivery risk
- Milestone-based billing when appropriate
- Transparent change control and sign-offs
- Vendor onboarding pack on request
Security & Quality (UK/EU)
We build for reliability and maintainability: clean PRs, tight review loops, and test coverage that matches risk.
Performance budgets and release checklists keep launches predictable—especially when multiple stakeholders review changes.
- CI-friendly testing: unit + integration + smoke tests
- Performance budgets + bundle checks (Core Web Vitals-minded)
- Structured release notes and rollback-safe deployments
- Security checklist for auth, roles, and data flows
- Observability hooks (logs + error tracking) ready for production
Want help with AI integration?
Book a service call with United Kingdom timezone overlap (UK/EU overlap (GMT/BST-friendly)). GBP-based engagements.
Reply within 2 hours. No-pressure consultation.