Capabilities · What we build

Made-to-order AI engineering

Every system we build is designed from scratch for your environment. No off-the-shelf wrappers, no generic implementations, pure bespoke engineering, scoped to your data, your infrastructure, and your strategic goals.

01 · Core service

Custom LLM Agents

We architect and deploy intelligent agents tuned to your domain, not general-purpose assistants. From multi-step reasoning pipelines to autonomous document processors, each agent is built to your compliance requirements, data-residency constraints, and operational SLAs.

Domain-specific fine-tuning and prompt architecture Multi-agent orchestration frameworks (LangGraph, CrewAI, custom) Tool-calling integrations: CRMs, ERPs, internal APIs On-premise and air-gapped deployment options
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Typical engagement
Discovery & scopingWeek 1
Architecture designWeek 2–3
Agent developmentWeek 4–8
Production deploymentWeek 9–10
Typical ROI window
6–12 weeks
02 · Core service

Proprietary Data Pipelines

Your AI is only as good as its data. We design ingestion, transformation, and enrichment pipelines that clean, structure, and route your proprietary data into AI-ready formats, preserving lineage, enforcing governance, and scaling with your volume.

Real-time streaming pipelines (Kafka, Kinesis, Pub/Sub) ETL/ELT for unstructured data: PDFs, emails, documents, logs Vector store integration (Pinecone, Weaviate, pgvector) Data governance, masking, and compliance tagging
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Pipeline architecture
Source connectors: databases, APIs, files
Normalisation & enrichment layer
Chunking, embedding & vector indexing
Governed retrieval layer for LLM context
03 · Core service

Enterprise RAG Integration

We build retrieval-augmented generation systems that connect your knowledge bases to language models, with precision retrieval, hallucination controls, and source attribution built in from day one. Enterprise-grade, not proof-of-concept.

Hybrid search: dense + sparse retrieval Re-ranking, guardrails, and citation tracking Role-based access control over retrieval scope Evaluation frameworks for accuracy and faithfulness
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RAG quality metrics we target
Retrieval precision>92%
Answer faithfulness>95%
Hallucination rate<3%
P95 latency<800ms
04 · Core service

AI on Edge (Aegis)

For environments where cloud latency, data sovereignty, or connectivity are constraints, we deploy intelligent models directly to your devices and on-premise infrastructure. Full capability, zero cloud dependency.

Model quantisation and hardware-specific optimisation Air-gapped and disconnected-mode inference OTA model update pipelines with version control Sub-100ms inference SLAs on edge hardware
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Supported hardware
NVIDIA Jetson
Orin / Xavier
Apple Silicon
M1–M4 Series
x86 On-Prem
CPU + GPU
ARM Embedded
Custom SBCs
05 · Core service

Automated Governance

Maintaining code quality and compliance in large-scale AI deployments requires automated oversight. Our Automated Governance system applies custom rules, security checks, and compliance audits to every commit, enforced by AI, not manual review.

Custom rule sets for your stack and compliance framework AI-powered security vulnerability detection CI/CD integration with audit trails and reporting SOC 2 / ISO 27001 alignment out of the box
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Governance coverage
✓ Static analysis (SAST) ✓ Dependency audit and SBOM generation ✓ Secret and credential scanning ✓ AI-generated code pattern detection ✓ Compliance policy enforcement (PCI, HIPAA, SOC 2)

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Not sure which service fits?

Our discovery process is designed to clarify exactly that. One call, 45 minutes. We map your problem to the right architecture.

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