ATPAVENIR TECHNOLOGY PARTNERS

Centres of expertise

Expertise at the frontier of intelligent systems.

Three centres of expertise keep our people at the frontier of the AI that matters most now, and bring that depth to every engagement, whichever way in you choose.

The three centresWhy centresOn our radar

The centres

Three centres. One frontier.

Each centre is a small permanent team that builds in its field every day, tests every significant new model and tool against its own evaluation sets, and sets the engineering standard for that technology across all our work.

01Agentic AI and automation

AI that does the work, not just the talking.

Agents that plan, use your tools and complete multi-step work inside real processes, with every limit and approval point set explicitly.

  • Agentic workflows across systems: onboarding, claims, procurement, service and operations.
  • Tool use through the Model Context Protocol and your own APIs, under least-privilege access.
  • Orchestration of several agents, with a person approving each consequential step.
  • Agent evaluation measured as a business would: tasks completed, errors caught, cost per finished task.
Methods and tools
  • Agent orchestration
  • Model Context Protocol
  • Tool calling
  • Reasoning models
  • Human in the loop
  • Agent evaluation
  • Tracing and observability

02Language and knowledge

Your organisation’s knowledge, made usable.

Assistants and search grounded in your own documents and data, that answer with their sources and know when they do not know.

  • Retrieval-augmented assistants for staff and customers, citing the passages they used.
  • Enterprise search that blends meaning with keywords, across documents, tickets and records.
  • Document intelligence: contracts, forms and reports turned into structured, checked data.
  • LLMOps: model routing, caching, cost control, and evaluations offline and in production.
Methods and tools
  • Retrieval-augmented generation
  • Hybrid and vector search
  • Structured outputs
  • Fine-tuning
  • Model routing
  • LLM evaluation
  • Prompt and context engineering

03Vision, voice and multimodal

AI that sees and hears.

Images, video, documents and speech understood in real time, in the cloud or on the device itself, where privacy and speed demand it.

  • Visual recognition and inspection, from a phone photograph to a production line.
  • Capture of receipts, labels and handwritten forms into clean records.
  • Speech recognition and voice interfaces that cope with real accents and real rooms.
  • On-device and edge models, so sensitive data never has to leave the device.
Methods and tools
  • Multimodal models
  • Computer vision
  • OCR and layout
  • Speech to text
  • Text to speech
  • On-device AI
  • Edge inference

Why centres of expertise

Depth in the centre. Agility at the edge.

The centres hold the depth, and small cross-functional teams carry it to the work. People move to the problem, and what they learn comes back to the centre.

  1. Current, by design.Each centre benchmarks new models and tools on its own evaluation sets as they arrive, so our advice reflects what works this quarter, not what worked last year.
  2. Agile by structure.Engagement teams are small and cross-functional. Centre specialists join for the sprints that need them and step out when they do not, so you never pay for a standing bench.
  3. Proven parts, not a blank page.Reference architectures, evaluation harnesses, guardrail patterns and accelerators, refined on every engagement, mean each project starts further on.
  4. One standard.Each centre owns the engineering and quality bar for its technology, so an agent, a search system or a vision model is built the same careful way wherever it lands.
  5. A network behind every centre.Each centre keeps close ties with specialists in its field, so a rare skill can join the team in days, and the centre’s engineers assess every candidate we put forward when a client hires a team or a leader of its own. Hiring and interim leaders

On our radar

What’s next, already in our labs.

The field moves monthly. These are the shifts we are measuring today, so you hear what holds up before you need it.

AgentsAgent interoperability

Open standards that let agents and tools from different vendors work together safely.

ModelsSmall and on-device models

Compact models that run privately on phones and laptops at a fraction of the cost.

ReasoningReasoning at a price

When step-by-step reasoning models earn their extra cost, and when a faster model is enough.

AssuranceAI assurance

Evaluation, audit trails and controls, built to the EU AI Act and ISO/IEC 42001.