AI Engineering Services
We design, build and deploy production AI systems — agents, RAG, computer vision and secure infrastructure — wired into the workflows your business actually runs on.
Start with the problem, not the technology
Pick the workflow you need to improve. We map it to the right AI architecture and delivery path.
We need agents to execute workflows
AI Agent Development
We need search and Q&A over internal knowledge
Enterprise RAG Systems
We need to extract data from documents
Enterprise RAG Systems
We need to analyze images, video or defects
Computer Vision Development
We need AI connected to CRM, ERP or tools
AI Integration & Automation
We cannot send data to public AI APIs
Secure On-Premise AI
We are not sure what is worth building
AI Consulting & Technical Discovery
Explore our AI engineering services
Six engineering capabilities, each delivered as a production system. Pick the entry point that fits your problem.
AI Agent Development
Production AI agents that use your tools, retrieve company knowledge and run multi-step workflows with human review and full audit logs.
- Best for
- A workflow spans multiple tools and decisions
- Typical outputs
- Production agent with tools, evals and audit
Enterprise RAG Systems
Grounded search and Q&A over your internal documents and databases with source citations, access permissions and measured accuracy.
- Best for
- Knowledge is scattered across docs and systems
- Typical outputs
- Search / Q&A with citations and access control
Computer Vision Development
Detection, OCR, visual monitoring and quality control for industrial and operational workflows — deployed at the edge or in your cloud.
- Best for
- Visual inspection or monitoring is manual
- Typical outputs
- Trained model deployed at edge or in your cloud
AI Integration & Automation
We connect AI to your CRM, ERP, databases, helpdesk and internal tools to automate repetitive workflows end to end, with logging and error handling.
- Best for
- AI must run inside existing business tools
- Typical outputs
- Connectors, automations, observability
Secure On-Premise AI
Private AI deployment in your cloud or on-prem infrastructure when data privacy, compliance or latency makes public cloud unsuitable.
- Best for
- Data cannot leave your environment
- Typical outputs
- Private LLM deployment in your VPC or on-prem
AI Consulting & Technical Discovery
We audit your workflows, identify high-ROI AI use cases and design a practical roadmap on your real data before development starts.
- Best for
- You don't know yet what's worth building
- Typical outputs
- Prioritized roadmap + architecture direction
Which service fits your use case?
Side-by-side view of when each service fits, the data it works with and what we ship.
| Service | Best when | Data type | Delivery output | |
|---|---|---|---|---|
AI Agent Development | A workflow spans multiple tools and decisions | APIs, databases, SaaS records | Production agent with tools, evals and audit | |
Enterprise RAG Systems | Knowledge is scattered across docs and systems | Documents, wikis, tickets, databases | Search / Q&A with citations and access control | |
Computer Vision Development | Visual inspection or monitoring is manual | Images, video, camera feeds | Trained model deployed at edge or in your cloud | |
AI Integration & Automation | AI must run inside existing business tools | CRM, ERP, helpdesk, internal APIs | Connectors, automations, observability | |
Secure On-Premise AI | Data cannot leave your environment | Sensitive / regulated data | Private LLM deployment in your VPC or on-prem | |
AI Consulting & Technical Discovery | You don't know yet what's worth building | Workflow interviews, sample data | Prioritized roadmap + architecture direction |
AI Agent Development
- Best when
- A workflow spans multiple tools and decisions
- Data type
- APIs, databases, SaaS records
- Delivery output
- Production agent with tools, evals and audit
Enterprise RAG Systems
- Best when
- Knowledge is scattered across docs and systems
- Data type
- Documents, wikis, tickets, databases
- Delivery output
- Search / Q&A with citations and access control
Computer Vision Development
- Best when
- Visual inspection or monitoring is manual
- Data type
- Images, video, camera feeds
- Delivery output
- Trained model deployed at edge or in your cloud
AI Integration & Automation
- Best when
- AI must run inside existing business tools
- Data type
- CRM, ERP, helpdesk, internal APIs
- Delivery output
- Connectors, automations, observability
Secure On-Premise AI
- Best when
- Data cannot leave your environment
- Data type
- Sensitive / regulated data
- Delivery output
- Private LLM deployment in your VPC or on-prem
AI Consulting & Technical Discovery
- Best when
- You don't know yet what's worth building
- Data type
- Workflow interviews, sample data
- Delivery output
- Prioritized roadmap + architecture direction
How we turn a service request into a production system
Technical discovery
Scope workflow, data, users, constraints and success criteria.
Architecture & prototype
Validate the AI approach on real data with evaluation criteria.
Production build
Build integrations, permissions, human review and deployment.
Launch & support
Monitor quality, usage, errors and improve after release.
Service examples from real projects
Case studyReal-Time Voice AI for Inbound Customer Support
A real-time voice agent for inbound customer support — sub-500ms latency, natural turn-taking, deep integration with the existing CRM — reducing load on human agents by ~40%.
Case studyEnterprise Legal RAG — GraphRAG for 1,000+ Lawyers
A GraphRAG backend for legal document analysis — clause extraction, cross-document reasoning, and grounded answers over contracts, statutes and case law — used by 1,000+ lawyers in production.
Case studyConcierge AI Agent — 24/7 Lead Qualification & Bookings
A 24/7 concierge agent that qualifies inbound leads and books property viewings across WhatsApp and Zillow, with full HubSpot integration so the sales team picks up the conversation where the agent left off.
Not sure which service fits your workflow?
Start with a technical discovery call. We'll look at your data, integrations and constraints, and tell you what's worth building.
Book a Technical Call