The Technology That Powers Our Clients
We don't sell AI concepts — we deploy production systems. Here's every technology we research, master, and put to work across 50+ countries.
Core AI Capabilities
Six domains where we go beyond experimentation into production-grade systems.
NLP & LLM Integration
We integrate GPT-4o, Claude 3.5, and Gemini 1.5 into your business workflows — not as demos, but as production systems handling real volume with measurable ROI.
- RAG pipelines for document Q&A and internal knowledge bases
- Multi-agent orchestration for complex decision workflows
- Custom fine-tuning on your proprietary domain data
- Semantic search and AI-powered content retrieval
Voice AI Agents
Fully autonomous agents that call, listen, respond, and take action — 24/7 at any scale, with natural conversation that closes deals and resolves issues.
- Outbound cold calling and automated follow-up sequences
- Inbound support with human-level comprehension
- IVR replacement with dynamic dialogue flows
- Real-time CRM logging and call transcription
Predictive Analytics
ML models that turn your historical data into forward-looking intelligence — so your teams act on probability, not instinct.
- Demand forecasting and inventory optimisation
- Lead scoring and conversion probability modelling
- Customer churn prediction with retention triggers
- Revenue anomaly detection and automated alerting
Computer Vision
Visual AI systems that see, classify, and act — automating inspection, security, and logistics workflows that currently require human eyes.
- Real-time object detection and classification at scale
- OCR and intelligent document processing
- Quality control and manufacturing defect detection
- Video analytics and automated surveillance workflows
Sentiment & Emotion AI
Understand what your customers actually feel — not just what they say. Real-time sentiment signals that improve CX, support, and product strategy.
- Multi-channel customer sentiment analysis at scale
- Voice tone and emotional state detection in calls
- Review aggregation and brand reputation monitoring
- Agent performance scoring from live conversation data
Speech & Audio AI
Convert spoken language into structured data, automate transcription workflows, and deploy voice interfaces across your entire customer journey.
- High-accuracy speech-to-text in 30+ languages
- Real-time meeting transcription and AI summarisation
- Podcast and media content extraction pipelines
- Custom wake-word detection and command systems
Technology Arsenal
Production-tested tools and models we deploy for clients worldwide — grouped by function.
From Discovery to Production
Every project follows the same rigorous process — no shortcuts, no black boxes.
Discover
We audit your systems, data sources, and processes to map AI opportunities ranked by ROI potential and implementation complexity. You leave with a prioritised roadmap, not a vague proposal.
Architect
We design the full technical blueprint — model selection, data pipelines, integrations, security architecture, and deployment strategy — before a single line of code is written.
Build
Rapid development sprints with continuous testing against real production data. Every component is validated before the next is built — no surprises at go-live.
Deploy
Production deployment on your infrastructure with full monitoring, alerting, and rollback capability. We are online and accountable through every stage of go-live.
Optimise
AI models drift as data patterns shift. We provide ongoing monitoring, scheduled retraining, performance tuning, and quarterly capability reviews as part of every engagement.
Research That Ships to Production
Not benchmarks — real metrics from live client deployments.
Reduction in lead response time
B2B Sales Automation
Reduction in manual recruiter work
AI HR & Recruitment
Reduction in inventory stock-outs
Supply Chain AI
Technical Questions
Straight answers about how our AI systems actually work.
We deploy GPT-4o (OpenAI), Claude 3.5 Sonnet (Anthropic), Gemini 1.5 Pro (Google), and open-source models including Llama 3 and Mistral. Model selection is driven by your latency, cost, data-privacy, and accuracy requirements. We are fully model-agnostic.
Yes. We build fine-tuned models for domain-specific tasks — legal, medical, financial, retail — where base models underperform. We also deploy RAG architectures that keep your data entirely within your own infrastructure, with nothing leaving your environment.
All client data is processed under strict NDA. We deploy within your own cloud VPC (AWS, Azure, GCP) so data never transits external systems. For regulated industries we support fully air-gapped on-premise deployments.
Simple automation workflows: 2–3 weeks. Custom AI agents: 4–8 weeks. Full multi-system AI platforms: 8–16 weeks. We start every engagement with a free 30-minute scoping call so you get an honest, accurate timeline before committing.
Yes. All deployments include production monitoring, alerting, and a defined support SLA. AI models degrade over time — we handle retraining, version upgrades, and performance tuning as a standard part of our ongoing partnerships.
Ready to Deploy AI That Actually Works?
Book a 30-minute scoping call. We'll review your use case, recommend the right technology stack, and give you an honest timeline and cost estimate — no pitch, just clarity.