Trusted Engineering Partners For
FINCORP
Health+
OMEGA_DATA
Core Engineering Solutions
We bridge the gap between "AI Demo" and production-grade infrastructure.
Autonomous Enterprise Agents
We move beyond chatbots to build deterministic agents that can plan, reason, and execute complex multi-step workflows across your existing software ecosystem.
- Human-in-the-Loop Checkpoints
- NeMo Guardrails & Safety Layers
- Multi-step Reasoning Chains
Model Context Protocols (MCP)
Securely connect your LLMs to proprietary databases and APIs. We implement MCPs to ensure zero-copy data privacy—your raw data never leaves your environment.
- Zero Data Exfiltration Architecture
- Role-Based Access Control (RBAC)
- Encrypted Data Pipes
Enterprise RAG Pipelines
Unstructured data is messy. We engineer robust ETL pipelines to chunk, embed, and index your PDF/Excel/SQL data into vector stores, ensuring your agents retrieve accurate context every time.
- Automated Vector ETL & Indexing
- Semantic Search Optimization
- Knowledge Graph Integration
GraphRAG & Knowledge Mapping
Flat vector search isn't enough for complex queries. We implement GraphRAG to map relationships between entities enabling multi-hop reasoning that standard RAG misses.
- Entity Resolution & Linking
- Multi-Hop Reasoning Chains
- Hybrid Search (Vector + Graph)
Deterministic Extraction Engines
LLMs are probabilistic; your general ledger must be deterministic. We build specialized "Text-to-SQL" layers that query your databases precisely, guaranteeing 100% mathematical accuracy.
- Verifiable Text-to-SQL Parsing
- Schema-Aware Extraction
- Automated Query Validation
LLMOps & Observability
Day 2 is harder than Day 1. We deploy full observability suites (like LangSmith or Arize) to track token costs, latency spikes, and model drift in real-time.
- Real-time Latency Monitoring
- Token Cost Analytics
- Feedback Loop Integration
Built by Engineers, Not Marketers.
AI2 Consulting was founded on a simple premise: Enterprise AI fails not because of bad models, but because of bad infrastructure.
Our team comes from backgrounds in High-Frequency Trading and HealthTech. We treat LLMs as deterministic software components, applying the same rigor to AI agents that we apply to transaction ledgers.
"Most consultancies show you a demo in a notebook. We show you a Docker container running in your VPC."