Flagship Service

Agents that work.
Not agents that demo.

We design, build, and harden autonomous AI agents and multi-agent pipelines that operate reliably in production - not just in controlled environments.

Start a project See case studies

Reality check

What a real agent actually is

What people think

-A chatbot with a longer system prompt
-Automation that follows a fixed script
-A single LLM call with tools attached
-Works if the demo works

What production agents do

-Decompose goals into dynamic subtasks
-Recover from failures and retry with new strategies
-Coordinate across tools, APIs, and data sources
-Operate within defined guardrails autonomously

What makes ours different

-Evaluation harness before any deployment
-Observability from day one - every step logged
-Fallback paths for every critical action
-Hardened for edge cases, not just happy paths

What we build

Agent types we build

Workflow Agents

Automate multi-step business processes end-to-end with branching logic and approval gates.

Research Agents

Gather, synthesise, and deliver structured intelligence from the web, documents, and APIs.

Code Agents

Write, review, test, and deploy code autonomously - integrated into your CI/CD pipeline.

Data Agents

Query, clean, transform, and report on data in real time across warehouses and databases.

Customer-facing Agents

Handle support, onboarding, and sales conversations with context-aware reasoning.

Industry applications

Use cases by industry

Healthcare

Clinical triage routing

Agent reads patient intake forms and routes cases to the right specialist queue - automatically.

Finance

Document extraction

Extracts, validates, and reconciles data across PDFs, spreadsheets, and banking APIs.

SaaS

Autonomous support

Resolves 80%+ of support tickets without human touch. Escalates when genuinely uncertain.

Logistics

Demand replanning

Monitors supply signals and replans demand forecasts in real time, surfacing actionable alerts.

E-commerce

Merchandising agent

Adjusts pricing, promotions, and product copy based on competitor signals and inventory levels.

Media

Content pipeline agent

Researches, drafts, formats, and schedules content across channels from a single brief.

Our process

How we build agents

Problem scoping

Define what the agent must decide, what tools it needs, and what failure looks like.

Tool design

Design every tool the agent will call - typed inputs, deterministic outputs, error surfaces.

Orchestration

Wire together the reasoning loop, memory, routing logic, and sub-agent coordination.

Evaluation harness

Build a suite of golden cases. No agent ships without measurable pass rates.

Production hardening

Add retries, circuit breakers, cost limits, logging, and alerting before go-live.

Technology

Our agent stack

Orchestration

LangChainLLLlamaIndexCRCrewAIAUAutoGen

Models

GPT-4oClaude 3.5 SonnetGemini 1.5 ProLlama 3

Memory

RedisPIPineconepgvectorMEMem0

Observability

LangSmithHEHeliconeCUCustom eval pipelinesOPOpenTelemetry

Ready to build your
next digital product?

Whether you have a detailed specification or just an early idea - we'll help you scope it, challenge the assumptions, and deliver it on time. No pitch decks. Straight to the point.

Get in Touch See Our Work

What happens next

Send us a message

Tell us what you're building or what's broken.

Discovery call (30 min)

We ask hard questions. You get honest answers.

Scoped proposal

Clear deliverables, timeline, and team in 48 hours.

Tell us about
your project

Whether you have a detailed brief or just an early idea, we will help you scope it, challenge it, and ship it.

Agentic AI development and multi-agent systems

Generative AI consulting and LLM integration

RAG development and custom model deployment

Data engineering, MLOps and custom software

Flagship Service

Agents that work.
Not agents that demo.

We design, build, and harden autonomous AI agents and multi-agent pipelines that operate reliably in production - not just in controlled environments.

Start a project See case studies

Reality check

What a real agent actually is

What people think

-A chatbot with a longer system prompt
-Automation that follows a fixed script
-A single LLM call with tools attached
-Works if the demo works

What production agents do

-Decompose goals into dynamic subtasks
-Recover from failures and retry with new strategies
-Coordinate across tools, APIs, and data sources
-Operate within defined guardrails autonomously

What makes ours different

-Evaluation harness before any deployment
-Observability from day one - every step logged
-Fallback paths for every critical action
-Hardened for edge cases, not just happy paths

What we build

Agent types we build

Workflow Agents

Automate multi-step business processes end-to-end with branching logic and approval gates.

Research Agents

Gather, synthesise, and deliver structured intelligence from the web, documents, and APIs.

Code Agents

Write, review, test, and deploy code autonomously - integrated into your CI/CD pipeline.

Data Agents

Query, clean, transform, and report on data in real time across warehouses and databases.

Customer-facing Agents

Handle support, onboarding, and sales conversations with context-aware reasoning.

Industry applications

Use cases by industry

Healthcare

Clinical triage routing

Agent reads patient intake forms and routes cases to the right specialist queue - automatically.

Finance

Document extraction

Extracts, validates, and reconciles data across PDFs, spreadsheets, and banking APIs.

SaaS

Autonomous support

Resolves 80%+ of support tickets without human touch. Escalates when genuinely uncertain.

Logistics

Demand replanning

Monitors supply signals and replans demand forecasts in real time, surfacing actionable alerts.

E-commerce

Merchandising agent

Adjusts pricing, promotions, and product copy based on competitor signals and inventory levels.

Media

Content pipeline agent

Researches, drafts, formats, and schedules content across channels from a single brief.

Our process

How we build agents

Problem scoping

Define what the agent must decide, what tools it needs, and what failure looks like.

Tool design

Design every tool the agent will call - typed inputs, deterministic outputs, error surfaces.

Orchestration

Wire together the reasoning loop, memory, routing logic, and sub-agent coordination.

Evaluation harness

Build a suite of golden cases. No agent ships without measurable pass rates.

Production hardening

Add retries, circuit breakers, cost limits, logging, and alerting before go-live.

Technology

Our agent stack

Orchestration

LangChainLLLlamaIndexCRCrewAIAUAutoGen

Models

GPT-4oClaude 3.5 SonnetGemini 1.5 ProLlama 3

Memory

RedisPIPineconepgvectorMEMem0

Observability

LangSmithHEHeliconeCUCustom eval pipelinesOPOpenTelemetry

Ready to build your
next digital product?

Whether you have a detailed specification or just an early idea - we'll help you scope it, challenge the assumptions, and deliver it on time. No pitch decks. Straight to the point.

Get in Touch See Our Work

What happens next

Send us a message

Tell us what you're building or what's broken.

Discovery call (30 min)

We ask hard questions. You get honest answers.

Scoped proposal

Clear deliverables, timeline, and team in 48 hours.

Tell us about
your project

Whether you have a detailed brief or just an early idea, we will help you scope it, challenge it, and ship it.

Agentic AI development and multi-agent systems

Generative AI consulting and LLM integration

RAG development and custom model deployment

Data engineering, MLOps and custom software

What a real agent actually is

What people think

-A chatbot with a longer system prompt
-Automation that follows a fixed script
-A single LLM call with tools attached
-Works if the demo works

What production agents do

-Decompose goals into dynamic subtasks
-Recover from failures and retry with new strategies
-Coordinate across tools, APIs, and data sources
-Operate within defined guardrails autonomously

What makes ours different

-Evaluation harness before any deployment
-Observability from day one - every step logged
-Fallback paths for every critical action
-Hardened for edge cases, not just happy paths

Agent types we build

Workflow Agents

Automate multi-step business processes end-to-end with branching logic and approval gates.

Research Agents

Gather, synthesise, and deliver structured intelligence from the web, documents, and APIs.

Code Agents

Write, review, test, and deploy code autonomously - integrated into your CI/CD pipeline.

Data Agents

Query, clean, transform, and report on data in real time across warehouses and databases.

Customer-facing Agents

Handle support, onboarding, and sales conversations with context-aware reasoning.

Use cases by industry

Healthcare

Clinical triage routing

Agent reads patient intake forms and routes cases to the right specialist queue - automatically.

Finance

Document extraction

Extracts, validates, and reconciles data across PDFs, spreadsheets, and banking APIs.

SaaS

Autonomous support

Resolves 80%+ of support tickets without human touch. Escalates when genuinely uncertain.

Logistics

Demand replanning

Monitors supply signals and replans demand forecasts in real time, surfacing actionable alerts.

E-commerce

Merchandising agent

Adjusts pricing, promotions, and product copy based on competitor signals and inventory levels.

Media

Content pipeline agent

Researches, drafts, formats, and schedules content across channels from a single brief.

How we build agents

Problem scoping

Define what the agent must decide, what tools it needs, and what failure looks like.

Tool design

Design every tool the agent will call - typed inputs, deterministic outputs, error surfaces.

Orchestration

Wire together the reasoning loop, memory, routing logic, and sub-agent coordination.

Evaluation harness

Build a suite of golden cases. No agent ships without measurable pass rates.

Production hardening

Add retries, circuit breakers, cost limits, logging, and alerting before go-live.

Tell us about
your project

Whether you have a detailed brief or just an early idea, we will help you scope it, challenge it, and ship it.

Agentic AI development and multi-agent systems

Generative AI consulting and LLM integration

RAG development and custom model deployment

Data engineering, MLOps and custom software

Agents that work.Not agents that demo.

What a real agent actually is

Agent types we build

Use cases by industry

How we build agents

Our agent stack

Ready to build yournext digital product?

Tell us aboutyour project

Agents that work.Not agents that demo.

What a real agent actually is

Agent types we build

Use cases by industry

How we build agents

Our agent stack

Ready to build yournext digital product?

Tell us aboutyour project

Agents that work.Not agents that demo.

What a real agent actually is

Agent types we build

Use cases by industry

How we build agents

Our agent stack

Ready to build yournext digital product?

Tell us aboutyour project

Agents that work.
Not agents that demo.

Ready to build your
next digital product?

Tell us about
your project

Agents that work.
Not agents that demo.

Ready to build your
next digital product?

Tell us about
your project

Agents that work.
Not agents that demo.

Ready to build your
next digital product?

Tell us about
your project