Enterprise AI Consulting

AI systems designed around business requirements.

We offer AI system design, integration, and deployment services, with evaluation shaped by your workflow and operating constraints.

From business workflow to deployed AI.
  1. Workflow Discovery

    Identify repetitive work, data sources, business requirements, and opportunities for automation.

  2. AI Solution Design

    Design AI agents, knowledge retrieval, and integrations around the identified workflow.

  3. Integration & Deployment

    Connect the solution to existing systems, test its behavior, and establish appropriate controls before deployment.

  • Production-grade AI systems
  • Enterprise integrations
  • Custom AI deployment

What We Do

End-to-End AI Consulting

From strategy to production — we design, build, and integrate AI systems for enterprise and mid-market teams.

Strategy

  • AI Readiness Audit
  • ROI Modeling
  • Roadmap Design

Build

  • Custom Agents
  • LLM Fine-Tuning
  • Computer Vision

Scale

  • MLOps Pipelines
  • Enterprise Integration
  • Ongoing Optimization
Explore all services

Capabilities

AI Built for Production

Explore approaches to language models, agents, computer vision, and model operations, with evaluation and integration requirements considered from the outset.

Large Language Models

Language-model and retrieval workflows designed around domain terminology, approved information sources, and access requirements.

  • GPT-4 / Claude / Llama
  • Custom Fine-Tuning
  • RAG Pipelines
architecture.yamlIllustrative configuration
services:
  - name: llm-engine
    replicas: 3
    gpu: enabled
    monitoring: datadog

Implementation

From Systems to Integration

Production-grade AI systems
Custom agents, LLM integrations, and computer vision.
Enterprise integrations
API and webhook integrations with CRMs, ERPs, and custom applications.
Custom AI deployment
Model deployment, MLOps pipelines, and ongoing optimization.
Security-conscious implementation
SSO, identity management, and governance frameworks.

Discuss Your AI Use Case

Tell us what you’re trying to solve. We’ll discuss the workflow, constraints, and possible next steps.