Applied AI/ML & Intelligent Systems Engineering
We architect and build production-ready applied AI solutions that integrate seamlessly into real business workflows. From enterprise Retrieval-Augmented Generation (RAG) to custom agentic pipelines and predictive ML models, we engineer AI systems that are reliable, low-latency, and cost-optimized.
Technical Architecture & Capabilities
- Enterprise Retrieval-Augmented Generation (RAG) with hybrid vector & keyword search
- Vector database architecture (pgvector, Pinecone, Qdrant) with metadata filtering
- Automated semantic caching and token-budget optimization to minimize API costs
- LLM orchestration via LangChain, LlamaIndex, or lightweight custom pipelines
- Deterministic fallback systems and hallucination guardrails for enterprise reliability
- Secure on-premise and private cloud model deployment (Ollama, vLLM, HuggingFace)
- ◆Production-ready AI microservice endpoints integrated with your web or mobile app
- ◆Vector database ingestion and chunking pipeline with automated re-indexing
- ◆Deterministic guardrails preventing prompt injection and toxic output
- ◆Token consumption analytics dashboard and cost-tracking telemetry
- ◆Complete model documentation, evaluation test suites, and deployment scripts
Multi-Regional Compliance Standards (US, UK & India)
US Executive Order on Safe AI standards, HIPAA-compliant zero-data-retention LLM endpoints, and enterprise data privacy.
UK AI Regulatory Framework alignment, GDPR Article 22 automated decision-making compliance, and explicit consent handling.
Digital Personal Data Protection Act compliance with localized data processing and non-training API boundaries.
Frequently Asked Questions
How do you prevent proprietary business data from being trained on by public AI models?
We use enterprise API tiers with strict zero-data-retention (ZDR) guarantees, or deploy self-hosted open-weights models (such as Llama 3 or Mistral) on private VPC infrastructure where zero data ever leaves your cloud perimeter.
How do you prevent hallucinations in critical business applications?
We employ strict Retrieval-Augmented Generation (RAG) with source ground-truth attribution, structured JSON output schemas, deterministic semantic guardrails, and automated verification checks prior to returning answers to the user.
Ready to engineer your applied ai & ml engineering?
Collaborate with our senior engineering team to scope architecture, timeline, and security controls.