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Capabilities

The full stack of applied AI.

Six connected practice areas, the intelligence, the knowledge that grounds it, and the software that makes it usable. No handoffs, no gaps between the model and the product.

01, Agents

AI Agents & Automation

Autonomous agents that plan, call tools, and complete real multi-step work, with humans in the loop where it matters.

Discuss a agents project

AI Agent Development

Goal-driven agents that reason, act, and finish multi-step tasks.

Agentic Workflows

Coordinated agent fleets that orchestrate operations end to end.

AI Copilots

In-product assistants that work alongside your users and staff.

Workflow Automation

Replace brittle manual ops with reliable, observable automation.

Tool & API Orchestration

Grounded function-calling across your systems and data.

Evaluation & Guardrails

Eval harnesses, tracing, and safety rails for production trust.

02, RAG

RAG & Knowledge Systems

Our founding specialty. Retrieval-grounded answers over your documents, so the model cites your truth, not a hallucination.

Discuss a rag project

Custom RAG Pipelines

Ingestion, chunking, embeddings, and retrieval tuned to your corpus.

Enterprise Knowledge Assistants

Secure, role-aware assistants over internal knowledge.

Semantic & Hybrid Search

Search across millions of documents with precision and recall.

Vector Database Engineering

Production vector stores, indexing, and re-ranking.

Grounding & Citations

Answers traceable to source, with confidence and provenance.

Retrieval Evals

Measure faithfulness, relevance, and answer quality over time.

03, GenAI

Generative AI & LLM Apps

Custom language-model applications tuned to your domain, from chat to structured extraction and content systems.

Discuss a genai project

LLM Application Development

Domain-tuned apps on frontier and open models.

Model Integrations

Claude, OpenAI, and open-source models behind guarded APIs.

Enterprise Chatbots

Knowledge-grounded chat for support, sales, and operations.

Structured Extraction

Turn unstructured documents into clean, typed data.

Fine-tuning & Distillation

Adapt models to your voice, tasks, and cost targets.

Multi-Agent Systems

Specialized agents collaborating toward a shared goal.

04, Software

Software Engineering

No company uses AI without a great interface. We ship the web, mobile, and platform layer that makes AI usable.

Discuss a software project

Web & Mobile Development

Modern, fast product front-ends users actually enjoy.

SaaS & Platform Engineering

Multi-tenant platforms built for scale and reliability.

Full-Stack Delivery

End to end, from database to interface.

Enterprise Applications

SSO, RBAC, and audit-grade systems.

API & Systems Integration

Connect legacy and modern systems through typed APIs.

UX/UI & Product Design

Interfaces designed for clarity, speed, and trust.

05, Infra

Cloud, MLOps & Infrastructure

The plumbing that keeps AI reliable in production: model serving, pipelines, and hands-off deployments.

Discuss a infra project

AI Infrastructure & LLMOps

Model serving, GPUs, and observability for production AI.

Cloud Architecture

Scalable, secure environments on AWS, Azure, and GCP.

CI/CD & DevOps Automation

Infrastructure-as-code and automated release pipelines.

Data Engineering

Reliable pipelines that feed models clean, current data.

Cost & Performance Tuning

Latency, throughput, and spend, optimized.

Security & Compliance

ISO 27001-aligned practices built into delivery.

06, Strategy

AI Strategy & Consulting

Where to start, what it costs, and how to de-risk it. Roadmaps and proofs of concept before you commit to a full build.

Discuss a strategy project

AI Opportunity Discovery

Find the highest-ROI use cases first.

Architecture & Roadmaps

Technical blueprints for scalable AI systems.

Proof of Concept

Validate real-world impact before full investment.

AI Transformation

Embed AI across teams, workflows, and operations.

Dedicated AI Pods

Senior engineers embedded in your team and standups.

Fractional AI Leadership

Part-time leaders to set strategy and direction.

How to engage

Three ways to work with us.

Most engagements begin with a proof of concept, then grow into a build or an embedded pod.

Best to start here

Proof of Concept

A scoped build on your real data to validate accuracy, latency, and ROI before you commit.

Clear outcome, clear price

Fixed-Scope Project

A defined system, shipped end to end, from architecture through production deployment.

Ongoing capacity

Dedicated AI Pod

Senior engineers embedded in your team and standups, shipping continuously against your roadmap.

Our process

Every engagement, de-risked step by step.

Discover

We map your data, workflows, and the use cases with the highest ROI, then scope a plan with clear success metrics.

Architect

A technical blueprint: the right models, retrieval strategy, guardrails, and integration points for production.

Build

Rapid, iterative delivery with working demos, evals, and your feedback baked into every cycle.

Deploy & Evolve

We ship to production, monitor quality with evals and tracing, and keep improving as your data grows.

Let’s build

Not sure which service you need?

That's what the intro call is for. Tell us the problem and we'll tell you honestly whether, and how, AI moves the needle.