Services

AI engineering, end to end

We work across the full AI stack -- from strategy and architecture through production deployment. Whether you need a standalone AI system or intelligent features woven into an existing product, we bring the engineering depth to deliver.

Autonomous agents that reason, plan, and act

Agentic AI Workflows

We design and build multi-agent systems that handle complex, multi-step business processes autonomously. Our agents leverage tool use, chain-of-thought reasoning, and planning loops to decompose problems, gather information, and take action -- with human oversight where it matters.

Capabilities

  • Multi-agent orchestration and coordination
  • Tool-use and API integration for agent actions
  • Human-in-the-loop approval workflows
  • Retrieval-augmented generation (RAG) pipelines
  • Agent observability, evaluation, and guardrails
  • Production deployment with monitoring and fallbacks

Production-grade language model systems

LLM Integration & Products

We embed large language models into real products -- not demos. From prompt engineering and fine-tuning to evaluation frameworks and cost optimization, we help you ship reliable LLM features to production with confidence.

Capabilities

  • Prompt engineering and structured output design
  • Model selection, benchmarking, and cost optimization
  • Fine-tuning and domain adaptation
  • Evaluation pipelines and regression testing
  • Multimodal pipelines (text, image, audio)
  • Framework integration (Genkit, LangChain, Semantic Kernel)

Personalized intelligence at scale

Recommendation Engines

We build recommendation systems that go beyond collaborative filtering. Our engines combine embedding-based retrieval, contextual signals, and LLM-powered reasoning to deliver highly personalized suggestions that improve user engagement and conversion.

Capabilities

  • Hybrid recommendation architectures (content + collaborative)
  • Embedding-based similarity and retrieval
  • Contextual and session-aware ranking
  • LLM-powered generative recommendations
  • A/B testing and metric-driven optimization
  • Real-time personalization pipelines

Visual intelligence for the real world

Computer Vision

From multimodal LLM classification to dedicated vision models, we build systems that see and understand. Our experience spans image classification, object detection, segmentation, background removal, and visual search -- deployed across cloud and edge.

Capabilities

  • Image classification and multi-label tagging
  • Object detection and instance segmentation
  • Background removal and image processing pipelines
  • Multimodal LLM-based visual understanding
  • Visual search and similarity matching
  • On-device and edge deployment optimization

How we work

A collaborative, iterative process tuned for AI projects where requirements often evolve alongside model capabilities.

01

Discovery

We learn your domain, data landscape, and business objectives. We identify where AI can create the most leverage and define success metrics upfront.

02

Architecture

We design a technical approach matched to your constraints -- model selection, infrastructure, data pipelines, and integration points.

03

Build

Iterative development with continuous evaluation. We ship working systems, not slide decks. Each iteration is tested against real data and user scenarios.

04

Deploy & Evolve

Production deployment with monitoring, observability, and feedback loops. We help you iterate post-launch and build internal capability.

Have a project in mind?

Tell us what you're building and we'll figure out the best way to help.

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