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GenAI & Agentic Systems • CAGR 37.3% by 2030

Artificial Intelligence & Generative AI Engineering

"Enterprise LLMs, Autonomous AI Agents, RAG Architectures & MLOps Pipelines"

We engineer production-grade AI systems, domain-specific large language model (LLM) fine-tuning, Retrieval-Augmented Generation (RAG), multimodal computer vision, and autonomous agent workflows with strict data privacy and low-latency inference.

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99.999%
Target Availability
15 Min
P1 Hypercare SLA
95%+
Automated Test Coverage
Zero
Downtime Deployments

1. Architectural Design & Custom Engineering

Modernizing, developing, and deploying high-performance GenAI & Agentic Systems systems.
  • Domain-Specific LLM Fine-Tuning (Llama 3, Mistral, DeepSeek, Claude, GPT-4o)
  • Enterprise RAG Architectures with Hybrid Search & Vector DBs (Pinecone, Qdrant, Milvus, pgvector)
  • Autonomous Agentic Workflows & Tool-Calling Systems (LangGraph, CrewAI, AutoGen)
  • Multimodal Computer Vision, OCR, & Voice/Speech AI Processing
  • Edge AI & Quantized Model Deployment (vLLM, TensorRT-LLM, Ollama, ONNX)

2. 24/7 Managed Support, SRE & Observability

Continuous health monitoring, proactive scaling, and SLA-guaranteed incident triage.
  • 24/7 AI Pipeline Health & Inference Latency Monitoring (Langfuse, Arize, Datadog)
  • Model Drift, Hallucination Tracking & Continuous Feedback Loop (RLHF/DPO)
  • GPU Cluster Sizing, Auto-scaling & FinOps Cost Optimization (AWS Bedrock, Azure OpenAI)
  • Prompt Template Versioning, Safety Guardrails & Model Registry Governance

3. Full-Stack QA & Security Engineering Matrix

Multi-layered testing gates: Functional, Automated, High-Load, and DevSecOps compliance.
Manual & Exploratory Validation:
Hallucination audits, semantic evaluation, bias/fairness checks, prompt adversarial testing, and human-in-the-loop (HITL) expert validation.
Automated Test Suites:
Automated LLM evaluation pipelines (Ragas, DeepEval, TruLens) testing retrieval precision, answer relevancy, and context recall.
Performance, Load & Stress:
High-concurrency token throughput benchmarking (Tokens/sec, TTFT - Time to First Token) under peak multi-tenant load.
Security & DevSecOps Compliance:
Prompt injection defenses, jailbreak vulnerability fuzzing, PII/PHI data leakage prevention, and OWASP Top 10 for LLMs audits.
Demonstrated Industry Impact

Case Study: Global Enterprise Financial Analytics Firm

The Challenge:

Manual equity research analysis of 10,000+ quarterly 10-K filings taking analysts hundreds of hours with high error rates.

Our Architecture Solution:

Built a hybrid RAG knowledge engine using pgvector and fine-tuned Llama 3 with automated semantic evaluation testbeds.

Demonstrated Result: Document synthesis time reduced by 94% with 99.2% factual precision and zero data leakage.
Verified Technology Stack & Tooling
PythonPyTorchLangChainLangGraphvLLMPineconeFastAPIDockerNVIDIA CUDARagas

Ready to Accelerate Your GenAI & Agentic Systems Initiatives?

Engage our senior architects and full-stack engineering squads to design, build, and scale your digital systems.

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