Solutions
What We Build
A deep catalogue of AI capabilities — from agents and retrieval systems to document intelligence and governance frameworks — all built for production in regulated environments.
01
AI Agents & Automation
Autonomous systems that execute complex workflows end-to-end.
We design and build multi-agent architectures that handle multi-step tasks autonomously — orchestrating specialist sub-agents, integrating with your internal systems via tool use and MCP servers, and maintaining state across long-running workflows. Reliable, auditable, and designed for regulated environments.
Capabilities
- Agent architecture design — supervisor/orchestrator and specialist patterns
- Multi-agent pipeline orchestration
- Tool use, API integration, and MCP server design
- Agent memory and state management
- Agent evaluation and testing frameworks
- Hybrid rule and AI decisioning
02
Language Model Engineering
Getting reliable, cost-effective output from frontier models.
Building on top of LLMs requires engineering discipline, not just prompting. We bring systematic evaluation frameworks, model selection methodologies, and cost-optimisation strategies that ensure your AI systems perform consistently and predictably in production.
Capabilities
- Prompt engineering and chain-of-thought design
- Prompt evaluation and optimisation frameworks
- LLM evaluation benchmarks and hallucination measurement
- Model selection and cost-quality benchmarking
- Token and API spend instrumentation
- Tiered model routing for cost and performance
03
Knowledge & Retrieval Systems
AI that reasons accurately over your proprietary data.
The most valuable AI applications are grounded in your organisation's own knowledge. We build retrieval-augmented generation systems, knowledge graphs, and vector search infrastructure that let language models reason accurately over your documents, data, and internal workflows.
Capabilities
- RAG pipeline design and implementation
- Knowledge graph construction (KG-RAG)
- Vector database design and management
- Hybrid semantic and keyword search
- Retrieval quality evaluation and tuning
- Agent-optimised knowledge architecture
04
Document Intelligence
Turning unstructured documents into structured, actionable data.
Financial services are built on documents — contracts, filings, reports, and forms. We build production-grade pipelines that classify, digitise, extract, and reconcile document content at scale, with the accuracy and traceability that regulated workflows require.
Capabilities
- Document classification and routing
- OCR and digitisation — single-engine and multi-engine ensemble
- Structured field extraction and named entity recognition
- Multi-document reconciliation and conflict detection
- Document forgery and anomaly detection
- Template-based document generation
05
Conversational AI
Intelligent dialogue systems for clients, teams, and operations.
From client-facing chatbots to internal meeting intelligence, we build conversational AI systems that understand intent, manage multi-turn dialogue, and produce structured outputs. Including speech-to-text pipelines with speaker diarisation for meeting and call workflows.
Capabilities
- Intent classification and dialogue management
- Call transcription and meeting summarisation
- Speaker diarisation and multi-speaker attribution
- Domain vocabulary calibration for ASR accuracy
- Socratic reasoning and guided discovery systems
- Agent assist and real-time suggestion
06
Prediction & Analytics
Models that score, forecast, and detect risk across your data.
We build and deploy predictive models calibrated for financial services use cases — from credit scoring and churn prediction to anomaly detection and early warning systems. Every model is designed for explainability and auditability from day one.
Capabilities
- Binary and multi-class classification
- Regression and time-series forecasting
- Scoring and ranking models
- Customer and portfolio segmentation
- Anomaly and outlier detection
- Early warning signal monitoring
07
AI Governance & Safety
Building AI that is accurate, governed, and built to last.
We help organisations adopt AI responsibly — from executive literacy and readiness assessments through to production safety systems. We design governance frameworks, safety boundaries, and observability infrastructure that meet the expectations of regulators and risk functions.
Capabilities
- AI readiness assessment and use case mapping
- AI governance framework design for regulated environments
- Responsible AI and regulatory alignment
- Agent safety boundaries and permission barriers
- Secrets management and credential isolation
- Observability, audit trails, and MLOps
Not sure which solution fits?
We start with a discovery conversation to identify the highest-impact opportunities for your organisation. No commitment required.
Book a Consultation