INNOVATION & R&D

Distill fact from fiction

Applied research into frontier approaches, where we pressure-test what’s real on representative tasks before it touches your roadmap, and publish what we learn.

PATTERN

SEER: beyond simple RAG

Search, Expand, Evaluate, Respond: a sophisticated knowledge-search pattern that produces highly contextualized, semantically-relevant results from existing and new knowledge bases.

RESEARCH BRIEF

HARDWARE

NVIDIA DGX & the edge

A sneak peek into the future of edge AI: the possibilities it unlocks, and the engineering challenges that come with running frontier models close to the data.

FIELD NOTE

ARCHITECTURE

Composable AI architecture

A foundational architecture that enables composability with proper governance, so AI use cases can scale safely without re-platforming each time.

Reference architecture

INNOVATION & R&D

Distill fact from fiction

Applied research into frontier approaches, where we pressure-test what’s real on representative tasks before it touches your roadmap, and publish what we learn.

PATTERN

SEER: beyond simple RAG

Search, Expand, Evaluate, Respond: a sophisticated knowledge-search pattern that produces highly contextualized, semantically-relevant results from existing and new knowledge bases.

RESEARCH BRIEF

HARDWARE

NVIDIA DGX & the edge

A sneak peek into the future of edge AI: the possibilities it unlocks, and the engineering challenges that come with running frontier models close to the data.

FIELD NOTE

ARCHITECTURE

Composable AI architecture

A foundational architecture that enables composability with proper governance, so AI use cases can scale safely without re-platforming each time.

Reference architecture

INNOVATION & R&D

Distill fact from fiction

Applied research into frontier approaches, where we pressure-test what’s real on representative tasks before it touches your roadmap, and publish what we learn.

PATTERN

SEER: beyond simple RAG

Search, Expand, Evaluate, Respond: a sophisticated knowledge-search pattern that produces highly contextualized, semantically-relevant results from existing and new knowledge bases.

RESEARCH BRIEF

HARDWARE

NVIDIA DGX & the edge

A sneak peek into the future of edge AI: the possibilities it unlocks, and the engineering challenges that come with running frontier models close to the data.

FIELD NOTE

ARCHITECTURE

Composable AI architecture

A foundational architecture that enables composability with proper governance, so AI use cases can scale safely without re-platforming each time.

Reference architecture

ADVANCED ENGINEERING

Composable building blocks.

A

Data & retrieval

B

AI governance

C

Agent Capability

D

Connectivity

RAG pipeline

Vector DB + ingestion + rerank/filter over your knowledge.

A1

Document ingestion

Parse, OCR, chunk, extract metadata, embed.

A2

Synthetic data generator

Eval sets and training augmentation.

A3

PII / safety filter

Redaction & content moderation, every request and response.

B1

Rate / spend limiter

Guardrails per tool call on expensive or destructive ops.

B2

Observability / tracing

Token usage, latency, span traces, drift detection.

B3

Feedback capture loop

Ratings → labeled dataset → continuous improvement.

B4

Agent file system

Handles uploads and writes versioned, downloadable artifacts.

C1

Speech ↔ text (TTS / STT)

Voice in and voice out for spoken interfaces.

C2

Sub-agent sidechain

Parallel processing without clogging the context window.

C3

MCP server templates

Pre-built connectors: DB, email, calendar, ticketing, Slack.

D1

Notification / dispatcher

Sends email / Slack / SMS or files tickets, and can trigger approval.

D2

Human-in-the-loop approval

Pause for confirmation on sensitive actions.

D3

ADVANCED ENGINEERING

Composable building blocks.

A

Data & retrieval

B

AI governance

C

Agent Capability

D

Connectivity

RAG pipeline

Vector DB + ingestion + rerank/filter over your knowledge.

A1

Document ingestion

Parse, OCR, chunk, extract metadata, embed.

A2

Synthetic data generator

Eval sets and training augmentation.

A3

PII / safety filter

Redaction & content moderation, every request and response.

B1

Rate / spend limiter

Guardrails per tool call on expensive or destructive ops.

B2

Observability / tracing

Token usage, latency, span traces, drift detection.

B3

Feedback capture loop

Ratings → labeled dataset → continuous improvement.

B4

Agent file system

Handles uploads and writes versioned, downloadable artifacts.

C1

Speech ↔ text (TTS / STT)

Voice in and voice out for spoken interfaces.

C2

Sub-agent sidechain

Parallel processing without clogging the context window.

C3

MCP server templates

Pre-built connectors: DB, email, calendar, ticketing, Slack.

D1

Notification / dispatcher

Sends email / Slack / SMS or files tickets, and can trigger approval.

D2

Human-in-the-loop approval

Pause for confirmation on sensitive actions.

D3

ADVANCED ENGINEERING

Composable building blocks.

A

Data & retrieval

RAG pipeline

Vector DB + ingestion + rerank/filter over your knowledge.

A1

Document ingestion

Parse, OCR, chunk, extract metadata, embed.

A2

Synthetic data generator

Eval sets and training augmentation.

A3

C

Agent Capability

Agent file system

Handles uploads and writes versioned, downloadable artifacts.

C1

Speech ↔ text (TTS / STT)

Voice in and voice out for spoken interfaces.

C2

Sub-agent sidechain

Parallel processing without clogging the context window.

C3

B

AI governance

PII / safety filter

Redaction & content moderation, every request and response.

B1

Rate / spend limiter

Guardrails per tool call on expensive or destructive ops.

B2

Observability / tracing

Token usage, latency, span traces, drift detection.

B3

Feedback capture loop

Ratings → labeled dataset → continuous improvement.

B4

D

Connectivity

MCP server templates

Pre-built connectors: DB, email, calendar, ticketing, Slack.

D1

Notification / dispatcher

Sends email / Slack / SMS or files tickets, and can trigger approval.

D2

Human-in-the-loop approval

Pause for confirmation on sensitive actions.

D3

INDUSTRY OUTCOMES

Proven, not promised.

Proven, not promised.

Tangible solutions that show how AI transforms a business, beyond simple automation. Two verticals in focus today, each with patterns we can deploy from the catalog.

Genesie

EDUCATION

New learning modalities

A research-backed, LMS-adjacent platform that unlocks interactive, adaptive ways to learn, built to maximise the insights-per-minute students gain over traditional methods.

Immersive content creation

Generate interactive course material, assessments and explanations grounded in the institution’s own curriculum and trusted sources.

Adaptive learning pathways

Each student’s pathway adapts to their pace and goals, surfacing the next best step from a governed knowledge base.

Aegis

FINANCIAL SERVICES

Biometric sanctions matching

A proprietary computer-vision backbone enables real-time, biometric-based matching of individuals against key watchlists.

Watchlist coverage

Screens against the major sanctions lists, OFAC, UN, EU and Interpol, from a single search.

Real-time screening engine

A purpose-built search engine returns matches in real time, keeping onboarding and payments compliant without slowing them down.

Let’s find your highest-ROI AI opportunity.

Send us a message

Send us a message

Send us a message

Send us a message

ADVANCED ENGINEERING

Composable building blocks.

A

Data & retrieval

RAG pipeline

Vector DB + ingestion + rerank/filter over your knowledge.

A1

RAG pipeline

Vector DB + ingestion + rerank/filter over your knowledge.

A1

Document ingestion

Parse, OCR, chunk, extract metadata, embed.

A2

Document ingestion

Parse, OCR, chunk, extract metadata, embed.

A2

Synthetic data generator

Eval sets and training augmentation.

A3

Synthetic data generator

Eval sets and training augmentation.

A3

B

AI governance

PII / safety filter

Redaction & content moderation, every request and response.

B1

PII / safety filter

Redaction & content moderation, every request and response.

B1

Rate / spend limiter

Guardrails per tool call on expensive or destructive ops.

B2

Rate / spend limiter

Guardrails per tool call on expensive or destructive ops.

B2

Observability / tracing

Token usage, latency, span traces, drift detection.

B3

Observability / tracing

Token usage, latency, span traces, drift detection.

B3

Feedback capture loop

Ratings → labeled dataset → continuous improvement.

B4

Feedback capture loop

Ratings → labeled dataset → continuous improvement.

B4

C

Agent Capability

Agent file system

Handles uploads and writes versioned, downloadable artifacts.

C1

Agent file system

Handles uploads and writes versioned, downloadable artifacts.

C1

Speech ↔ text (TTS / STT)

Voice in and voice out for spoken interfaces.

C2

Speech ↔ text (TTS / STT)

Voice in and voice out for spoken interfaces.

C2

Sub-agent sidechain

Parallel processing without clogging the context window.

C3

Sub-agent sidechain

Parallel processing without clogging the context window.

C3

D

Connectivity

MCP server templates

Pre-built connectors: DB, email, calendar, ticketing, Slack.

D1

MCP server templates

Pre-built connectors: DB, email, calendar, ticketing, Slack.

D1

Notification / dispatcher

Sends email / Slack / SMS or files tickets, and can trigger approval.

D2

Notification / dispatcher

Sends email / Slack / SMS or files tickets, and can trigger approval.

D2

Human-in-the-loop approval

Pause for confirmation on sensitive actions.

D3

Human-in-the-loop approval

Pause for confirmation on sensitive actions.

D3

INNOVATION & R&D

Distill fact from fiction

Applied research into frontier approaches, where we pressure-test what’s real on representative tasks before it touches your roadmap, and publish what we learn.

PATTERN

SEER: beyond simple RAG

Search, Expand, Evaluate, Respond: a sophisticated knowledge-search pattern that produces highly contextualized, semantically-relevant results from existing and new knowledge bases.

RESEARCH BRIEF

HARDWARE

NVIDIA DGX & the edge

A sneak peek into the future of edge AI: the possibilities it unlocks, and the engineering challenges that come with running frontier models close to the data.

FIELD NOTE

ARCHITECTURE

Composable AI architecture

A foundational architecture that enables composability with proper governance, so AI use cases can scale safely without re-platforming each time.

Reference architecture

INNOVATION & R&D

Distill fact from fiction

Applied research into frontier approaches, where we pressure-test what’s real on representative tasks before it touches your roadmap, and publish what we learn.

PATTERN

SEER: beyond simple RAG

Search, Expand, Evaluate, Respond: a sophisticated knowledge-search pattern that produces highly contextualized, semantically-relevant results from existing and new knowledge bases.

RESEARCH BRIEF

HARDWARE

NVIDIA DGX & the edge

A sneak peek into the future of edge AI: the possibilities it unlocks, and the engineering challenges that come with running frontier models close to the data.

FIELD NOTE

ARCHITECTURE

Composable AI architecture

A foundational architecture that enables composability with proper governance, so AI use cases can scale safely without re-platforming each time.

Reference architecture

INNOVATION & R&D

Distill fact from fiction

Applied research into frontier approaches, where we pressure-test what’s real on representative tasks before it touches your roadmap, and publish what we learn.

PATTERN

SEER: beyond simple RAG

Search, Expand, Evaluate, Respond: a sophisticated knowledge-search pattern that produces highly contextualized, semantically-relevant results from existing and new knowledge bases.

RESEARCH BRIEF

HARDWARE

NVIDIA DGX & the edge

A sneak peek into the future of edge AI: the possibilities it unlocks, and the engineering challenges that come with running frontier models close to the data.

FIELD NOTE

ARCHITECTURE

Composable AI architecture

A foundational architecture that enables composability with proper governance, so AI use cases can scale safely without re-platforming each time.

Reference architecture

ADVANCED ENGINEERING

Composable building blocks.

A

Data & retrieval

B

AI governance

C

Agent Capability

D

Connectivity

RAG pipeline

Vector DB + ingestion + rerank/filter over your knowledge.

A1

Document ingestion

Parse, OCR, chunk, extract metadata, embed.

A2

Synthetic data generator

Eval sets and training augmentation.

A3

PII / safety filter

Redaction & content moderation, every request and response.

B1

Rate / spend limiter

Guardrails per tool call on expensive or destructive ops.

B2

Observability / tracing

Token usage, latency, span traces, drift detection.

B3

Feedback capture loop

Ratings → labeled dataset → continuous improvement.

B4

Agent file system

Handles uploads and writes versioned, downloadable artifacts.

C1

Speech ↔ text (TTS / STT)

Voice in and voice out for spoken interfaces.

C2

Sub-agent sidechain

Parallel processing without clogging the context window.

C3

MCP server templates

Pre-built connectors: DB, email, calendar, ticketing, Slack.

D1

Notification / dispatcher

Sends email / Slack / SMS or files tickets, and can trigger approval.

D2

Human-in-the-loop approval

Pause for confirmation on sensitive actions.

D3

ADVANCED ENGINEERING

Composable building blocks.

A

Data & retrieval

B

AI governance

C

Agent Capability

D

Connectivity

RAG pipeline

Vector DB + ingestion + rerank/filter over your knowledge.

A1

Document ingestion

Parse, OCR, chunk, extract metadata, embed.

A2

Synthetic data generator

Eval sets and training augmentation.

A3

PII / safety filter

Redaction & content moderation, every request and response.

B1

Rate / spend limiter

Guardrails per tool call on expensive or destructive ops.

B2

Observability / tracing

Token usage, latency, span traces, drift detection.

B3

Feedback capture loop

Ratings → labeled dataset → continuous improvement.

B4

Agent file system

Handles uploads and writes versioned, downloadable artifacts.

C1

Speech ↔ text (TTS / STT)

Voice in and voice out for spoken interfaces.

C2

Sub-agent sidechain

Parallel processing without clogging the context window.

C3

MCP server templates

Pre-built connectors: DB, email, calendar, ticketing, Slack.

D1

Notification / dispatcher

Sends email / Slack / SMS or files tickets, and can trigger approval.

D2

Human-in-the-loop approval

Pause for confirmation on sensitive actions.

D3

ADVANCED ENGINEERING

Composable building blocks.

A

Data & retrieval

RAG pipeline

Vector DB + ingestion + rerank/filter over your knowledge.

A1

Document ingestion

Parse, OCR, chunk, extract metadata, embed.

A2

Synthetic data generator

Eval sets and training augmentation.

A3

C

Agent Capability

Agent file system

Handles uploads and writes versioned, downloadable artifacts.

C1

Speech ↔ text (TTS / STT)

Voice in and voice out for spoken interfaces.

C2

Sub-agent sidechain

Parallel processing without clogging the context window.

C3

B

AI governance

PII / safety filter

Redaction & content moderation, every request and response.

B1

Rate / spend limiter

Guardrails per tool call on expensive or destructive ops.

B2

Observability / tracing

Token usage, latency, span traces, drift detection.

B3

Feedback capture loop

Ratings → labeled dataset → continuous improvement.

B4

D

Connectivity

MCP server templates

Pre-built connectors: DB, email, calendar, ticketing, Slack.

D1

Notification / dispatcher

Sends email / Slack / SMS or files tickets, and can trigger approval.

D2

Human-in-the-loop approval

Pause for confirmation on sensitive actions.

D3

INDUSTRY OUTCOMES

Proven, not promised.

Proven, not promised.

Tangible solutions that show how AI transforms a business, beyond simple automation. Two verticals in focus today, each with patterns we can deploy from the catalog.

Genesie

EDUCATION

New learning modalities

A research-backed, LMS-adjacent platform that unlocks interactive, adaptive ways to learn, built to maximise the insights-per-minute students gain over traditional methods.

Immersive content creation

Generate interactive course material, assessments and explanations grounded in the institution’s own curriculum and trusted sources.

Adaptive learning pathways

Each student’s pathway adapts to their pace and goals, surfacing the next best step from a governed knowledge base.

Aegis

FINANCIAL SERVICES

Biometric sanctions matching

A proprietary computer-vision backbone enables real-time, biometric-based matching of individuals against key watchlists.

Watchlist coverage

Screens against the major sanctions lists, OFAC, UN, EU and Interpol, from a single search.

Real-time screening engine

A purpose-built search engine returns matches in real time, keeping onboarding and payments compliant without slowing them down.

Let’s find your highest-ROI AI opportunity.

Send us a message

Send us a message

Send us a message

Send us a message

ADVANCED ENGINEERING

Composable building blocks.

A

Data & retrieval

RAG pipeline

Vector DB + ingestion + rerank/filter over your knowledge.

A1

RAG pipeline

Vector DB + ingestion + rerank/filter over your knowledge.

A1

Document ingestion

Parse, OCR, chunk, extract metadata, embed.

A2

Document ingestion

Parse, OCR, chunk, extract metadata, embed.

A2

Synthetic data generator

Eval sets and training augmentation.

A3

Synthetic data generator

Eval sets and training augmentation.

A3

B

AI governance

PII / safety filter

Redaction & content moderation, every request and response.

B1

PII / safety filter

Redaction & content moderation, every request and response.

B1

Rate / spend limiter

Guardrails per tool call on expensive or destructive ops.

B2

Rate / spend limiter

Guardrails per tool call on expensive or destructive ops.

B2

Observability / tracing

Token usage, latency, span traces, drift detection.

B3

Observability / tracing

Token usage, latency, span traces, drift detection.

B3

Feedback capture loop

Ratings → labeled dataset → continuous improvement.

B4

Feedback capture loop

Ratings → labeled dataset → continuous improvement.

B4

C

Agent Capability

Agent file system

Handles uploads and writes versioned, downloadable artifacts.

C1

Agent file system

Handles uploads and writes versioned, downloadable artifacts.

C1

Speech ↔ text (TTS / STT)

Voice in and voice out for spoken interfaces.

C2

Speech ↔ text (TTS / STT)

Voice in and voice out for spoken interfaces.

C2

Sub-agent sidechain

Parallel processing without clogging the context window.

C3

Sub-agent sidechain

Parallel processing without clogging the context window.

C3

D

Connectivity

MCP server templates

Pre-built connectors: DB, email, calendar, ticketing, Slack.

D1

MCP server templates

Pre-built connectors: DB, email, calendar, ticketing, Slack.

D1

Notification / dispatcher

Sends email / Slack / SMS or files tickets, and can trigger approval.

D2

Notification / dispatcher

Sends email / Slack / SMS or files tickets, and can trigger approval.

D2

Human-in-the-loop approval

Pause for confirmation on sensitive actions.

D3

Human-in-the-loop approval

Pause for confirmation on sensitive actions.

D3