We develop AI systems from the ground up that span the full stack. Get production-grade intelligence that includes model selection, prompt engineering, grounding, evaluation and large language model operations (LLMOps).
Model and Architecture Strategy
We select and orchestrate the right cloud or local foundation models like GPT4o, Claude 3.5, Gemini 1.5, Llama 3.x, Mistral Large, Cohere Command and more. We base our strategy on latency, cost, licensing and capability, not brand hype.
Prompt Engineering and System Design
Grow with structured prompting, tool/function calling, output schemas, guardrails and prompt-injection defences. We take the guesswork out of prompting with reusable prompt libraries and evaluation harnesses so you can measure quality with accuracy.
Hallucination Mitigation and Trust Layers
With retrieval-augmented generation (RAG), citation enforcement, self-checking loops, deterministic fallbacks and red-teaming, keep outputs grounded in your data and policy.
Data Grounding and Fine-Tuning
iuvo provides domain adaptation via RAG pipelines, lightweight fine-tuning/LoRA or full supervised fine-tunes where ROI justifies it. We handle vector stores, embeddings, indexing and evaluation of recall/precision.
Microsoft-Centric Integration
Get Microsoft integration when it matters. Our team can seamlessly plug the following into your existing security and governance model:
- Azure OpenAI for compliant deployment.
- Microsoft 365/Graph connectors.
- Copilot studio extensions.
- Azure AI Search/Fabric.
- Power Platform automation.
Bots, Agents and Workflow Automation
Streamline with task-specific assistants that respect your tone, policies and RBAC. From Slack/Teams bots to agentic workflows that call internal APIs, easily schedule jobs and write back to your systems of record.
LLMOps, Observability and Governance
We give you dashboards, not black boxes. Get Telemetry, cost controls, prompt/version management, A/B evals and alignment with NIST AI RMF/ISO 42001.
