Identify
Find the real leverage
We audit your workflows, data, and product, and report back where AI adds value and where a simpler solution does the job.
AI / ML
AI features that hold up in production.
Retrieval pipelines, agents, and evaluations, built into your software with the monitoring and cost controls they need to run at volume.
What we build
From proof of concept to production AI.
We help partners find where AI fits in their product or workflow, prototype against real data, then engineer the feature into production with guardrails, evaluations, and cost controls.
- RAG pipelines & semantic search
- LLM-powered agents & tool calling
- Embeddings & vector databases
- Prompt engineering & optimization
- Model evaluation & benchmarking
- Fine-tuning & domain adaptation
- AI strategy & use-case identification
- Cost optimization & model selection
Our approach
How we approach AI work.
Prototype
Prove it works
Rapid prototypes with your data, tested with your users. We write evaluations from the start so we can measure the result against your current process.
Ship
Engineer it into the product
Production pipelines with monitoring, fallbacks, and cost controls. AI features go through the same tests, reviews, and deploys as the rest of the codebase.
Our AI product
We run an AI product of our own.
Revelry.ai is our AI product, built by Revelry Labs. It deploys AI agents that handle bids, docs, follow-ups, and scheduling.
Running it means we deal with production infrastructure, multi-model orchestration, evaluation, and cost control every day, and that experience carries into partner work.
Explore revelry.ai →What revelry.ai does
- AI agents for bids, docs, follow-ups, and scheduling
- Multi-model orchestration, routed per task
- White-label platform for partners and MSPs
- Enterprise-grade security with full audit trails
- Live in production for construction, real estate, consulting, and more
Tools we use
How we choose a model.
We select per use case, weighing output quality on your data, cost at your volume, and where the data is permitted to go.
Models
OpenAI · Anthropic · Mistral · Llama · Gemini
Orchestration
LangChain · Instructor · Hermes MCP · Custom
Vector stores
pgvector · Pinecone · Chroma · Qdrant
Infra
Fly.io · AWS Bedrock · GCP Vertex · Replicate
Let's build something together
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