We bring AI into the enterprise responsibly: retrieval-augmented generation, intelligent agents, document understanding, and predictive models wired into your real data and workflows, with guardrails, evaluation, and human oversight.
What We Deliver
LLM & Agent Systems
RAG pipelines and task agents grounded in your knowledge and policies.
- Retrieval-augmented generation
- Tool-using agents
- Prompt & eval harnesses
Vector & Semantic Search
Semantic search over documents, tickets, and structured data.
- Embeddings & vector DBs
- Hybrid keyword + semantic
- Relevance tuning
Predictive ML
Forecasting, classification, and scoring models on your data.
- Feature pipelines
- Model training & serving
- Drift monitoring
Responsible AI
Evaluation, guardrails, and governance so AI stays safe and auditable.
- Output evaluation
- PII & safety guardrails
- Human-in-the-loop
Technology Stack
OpenAI / Anthropic LangChain / LlamaIndex pgvector / Pinecone Python / PyTorch MLflow Bedrock / SageMaker
How We Deliver
ENGAGEMENT BLUEPRINT
PHASE 01
Use-Case & Data
Identify high-value use cases and prepare grounded data sources.
PHASE 02
Prototype & Evaluate
Build, measure quality, and tune against real tasks.
PHASE 03
Productionize
Serving, guardrails, monitoring, and cost management.
What You Get
AI Service / API
Deployed, versioned, and monitored.
Evaluation Suite
Quality and safety benchmarks.
Data Pipelines
Ingestion, embeddings, and refresh.
Governance Guide
Guardrails and oversight model.