Reliability by design

Clean architecture with tests, metrics, and runbooks from day one.

Production‑grade AI

Evaluated and monitored RAG & agent systems with measurable accuracy and latency.

Transparent delivery

Tight scopes, and clear costs—no surprises.

Custom product development

Web/mobile apps, APIs, and resilient backends. From prototype to enterprise rollout.

Applied AI systems

Ingestion → embeddings → vector store → retrieval → routing → evaluation → monitoring.

Payments & platform integrations

Secure payments, file rails, webhooks, storage, and third‑party APIs that just work.

DevOps & reliability

Docker, IaC, CI/CD with cost control and strong observability.

On-prem & hybrid deployments

Run AI where your data lives: on-prem GPUs, private cloud, or hybrid setups with strict compliance.

• Local LLMs & vision models (GPU sizing & tuning)
• Air-gapped / POPIA-aware architectures
• Cost-optimized inference & monitoring

Conversational agents

Custom chat experiences for support, internal tools, and lead capture with strong safety and guardrails.

• Multi‑turn memory & profiles
• Tools & actions (function calling)
• Safety filters & redaction

Retrieval‑Augmented Generation

Ingestion → chunking → embeddings → vector store → retrieval → rerank → generate → evaluate.

• Vector Databases (Qdrant / PGVector / Chroma)
• Structured outputs (JSON/XML)
• Offline eval & dashboards

Agentic workflows

Tool‑using agents and orchestrators with retries, supervision, and audit traces.

• Planning & routing
• Function/tools registry
• Observability & logs

Training & fine‑tuning

Domain adaptation for accuracy, latency, and cost with repeatable evaluation.

• Pipelines
• Golden sets & A/B tests
• Safety & bias checks