01
- Custom AI agents
- Agentic workflows
- Multi-agent systems
- Tool and API integration
- Human-in-the-loop workflows
- Agent evaluation and reliability
- Enterprise process automation
- Voice agents
Services
AI engineering for systems that work in production.
We build AI agents and document workflows, and the model, infrastructure, evaluation and security engineering that makes them hold up in production.
When companies bring us in
Most engagements start with a specific problem, not a service. These are the situations we hear most often.
An AI idea needs to become a real product
You know what you want to build, but need senior engineers who have shipped agents and document workflows before.
A prototype works in demos but not in production
Quality is inconsistent, edge cases break it, and nobody can say with confidence how well it performs.
AI costs or latency are growing faster than usage
Inference bills climb, responses slow down, and scaling looks expensive.
You need to trust what the system is doing
Customers, auditors or leadership want evidence that the AI is measured, monitored and secure.
Application engineering
The AI applications we build.
01 · AI Agents & Workflow Automation
Agents that hold up under real-world use.
Design and build reliable AI agents that reason, use tools and execute real business workflows, with the controls needed for production.
In practice
GTM copilot that generates waterfall models from client requirements and routes tasks to cost-effective data APIs.
Outcomes: automated workflows · fewer manual handoffs · production-grade controls
02 · Document & Knowledge AI
Turn unstructured information into action.
Build AI systems that understand complex documents and knowledge, turning unstructured information into structured information, decisions and actions.
In practice
Insurance claims pipeline: 50% lower processing cost, accuracy improved from 60% to 80%.
Outcomes: structured data · faster processing · higher accuracy
02
Capabilities
- Document understanding
- Information extraction
- Document classification
- Multi-document reasoning
- Knowledge workflows
- Document-based AI agents
Use cases
- Contract and document analysis
- Claims processing
- Invoice processing
- Forms and report extraction
Production engineering
The engineering that makes them reliable, secure, scalable and economical.
03 · LLM & SLM Engineering
Choose, adapt and optimize the right models.
Evaluate, adapt and deploy LLMs and SLMs for specific tasks, balancing accuracy, latency, cost and control.
Outcomes: right-sized models · task-specific accuracy · lower cost
Technical depth: SFT, LoRA, QLoRA, PEFT, DPO, ORPO, KTO
03
- RAG and knowledge systems
- Domain-specific models
- LLM / SLM fine-tuning
- Synthetic data
- Model adaptation and alignment
- Prompt and context optimization
- Model evaluation
04 · AI Performance & Infrastructure
Serve AI faster, cheaper and at scale.
Optimize inference, model serving and AI workloads for better performance, scalability and cost without blindly sacrificing quality.
In practice
Re-engineered a claims processing pipeline to cut processing costs by 50%.
Outcomes: lower cost, lower latency, higher throughput, scalability
04
- GPU / CPU optimization
- High-throughput inference
- Model serving
- Model routing
- Caching and batching
- Quantization
- Inference optimization
- AI cost optimization
- Infrastructure optimization
05 · AI Reliability & Security
Know when your AI is working, and when it isn't.
Measure AI quality, detect failures and protect AI applications against security and operational risks in production.
Outcomes: measurable quality · early failure detection · audit-ready AI
05
Evaluation
- LLM / SLM evaluation
- Agent evaluation
- Quality measurement
- Regression testing
Observability
- AI observability
- Agent tracing
- Production monitoring
- Failure analysis
Security & governance
- AI security
- Prompt injection protection
- AI red teaming
- Guardrails
- Privacy and data protection
- AI governance
- Auditability
Sound familiar?
Tell us what you're working on and we'll tell you honestly whether we can help.