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DeepFusion Labs — Production-grade AI architecture for enterprises. GenAI, RAG, AI Agents, Text2SQL, and intelligent analytics. Engineered for production. Built to scale.

Production-Grade AI.
Enterprise-Grade Engineering.

We design and build GenAI systems for enterprises — hybrid RAG, autonomous agents, Text2SQL, and intelligent analytics.
Engineered for production. Built to scale.

About DeepFusionLabs — A boutique AI engineering consultancy specializing in production-grade GenAI, RAG, AI Agents, Text2SQL, machine learning, and enterprise architecture. We build AI systems that run in production and deliver measurable results.

AI Engineering, Done Right

We don't build AI demos — we build AI systems that run in production and deliver measurable results.

Production Mindset

Every system is built for real-world operation — monitoring, fault tolerance, and scale from day one.

Engineering Depth

We understand the data, constraints, and systems before writing a line of code.

Enterprise DNA

Extensive experience delivering mission-critical systems for complex organizations.

Senior-Led Delivery

You work directly with the engineers who architect and build. No layers, no handoffs.

DeepFusionLabs expertise areas: Generative AI and Intelligent Systems, AI Agents and Autonomous Systems, AI-Accelerated Engineering, Machine Learning, Enterprise Architecture, and Cloud and Data Infrastructure.

Areas of Expertise

From intelligent systems design to production infrastructure

Generative AI & Intelligent Systems

Production LLM applications — hybrid retrieval, context engineering, NLP, Text2SQL, knowledge graphs, and quality evaluation pipelines.

GenAIRAGGraphRAGLightRAGLLMsNLPText2SQLKnowledge GraphsRetrieval FusionContextualized ChunkingContext EngineeringVectorDBHugging FaceLangChainLlamaIndexSemantic KernelOpenRouterLiteLLM

AI Agents & Autonomous Systems

Multi-agent systems for complex business workflows — document processing, cross-system operations, and decision support with production-grade observability.

Multi-AgentMCPMCP-AppsClaude Agent SDKOpenAI Agent SDKLangGraphAutoGenAgent RuntimesOpenTelemetry
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AI-Accelerated Engineering

Helping R&D teams adopt agentic coding workflows — spec-driven development, context engineering, multi-agent coordination, and organizational AI standards.

Agentic CodingSpec-Driven DevelopmentIntent-Driven DevelopmentContext EngineeringClaude CodeCodexMulti-Agent CoordinationAGENTS.mdAgent SkillsAI Code ReviewHuman-in-the-Loop
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Machine Learning

Custom ML models — classification, anomaly detection, recommendations, predictive analytics, and computer vision. Design through production deployment.

Machine LearningDeep LearningTensorFlowPyTorchscikit-learnXGBoostLightGBMCatBoostML.NETONNXMLflowOpenCVPredictive AnalyticsComputer Vision

Enterprise Architecture & Integration

Distributed systems, microservices, real-time sync, and API infrastructure — adding AI capabilities into existing enterprise applications without replacing what works.

MicroservicesRESTgRPCGraphQLODataMiddlewareETL/ELTKafkaRabbitMQWebSocketsEvent SourcingCQRSEdge ComputingParallel ProcessingReal-TimePower BIReactAngular

Cloud, Data & Infrastructure

AI workload infrastructure — cloud architecture, containerization, data pipelines, CI/CD, and cost optimization across OLTP, OLAP, NoSQL, columnar, vector, and graph databases.

AWSAzureGCPKubernetesDockerTerraformAnsiblePackerServerlessPostgreSQLSQL ServerMongoDBRedisElasticSearchNeo4jpgvectorDuckDBMeilisearchOLTPOLAPColumnar DBsNoSQLData PipelinesCI/CD

Our Products

Purpose-built AI platforms for enterprise data intelligence

DeepQuery

Self-Service BI & Text2SQL Platform

Text2SQL that actually works on enterprise data. Scales to 1,000+ tables where every other solution breaks at 20+. Quality-first architecture with agentic orchestration and multi-path SQL generation, built on DeepKnowledge's hybrid RAG engine core.

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DeepKnowledge

Enterprise RAG Platform

Intelligent retrieval over documents, policies, contracts, and organizational data. Triple-storage architecture — vector, knowledge graph, and full-text search — with agentic orchestration for precision that single-method RAG can't match.

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Services

AI Systems Development

We design and build production GenAI systems — RAG, agents, Text2SQL, intelligent analytics. End-to-end from architecture through deployment.

AI Engineering Consulting

Helping R&D teams adopt agentic coding workflows — spec-driven development, context engineering, organizational AI standards, and reusable agent skills.

Product Deployment

DeepQuery and DeepKnowledge deployment, customization, and integration into your enterprise environment.

Let's Talk

Have a complex AI challenge that needs deep engineering expertise?
Tell us about your project and we'll get back to you.