# Brim Labs — Full Site Content > Production Grade AI for High Trust Industries. We build AI systems that actually work in production — for healthcare, fintech, and enterprise. 250+ systems deployed. HIPAA & SOC 2 compliant. --- ## Company Overview Brim Labs (brimlabs.ai) is an AI infrastructure company founded in 2019, operating as Apphie Technologies Pvt. Ltd. Based in Greater Noida, Uttar Pradesh, India, we specialize in building production-grade AI systems for regulated, high-trust industries. We are not a consulting firm or a proof-of-concept shop. We are AI engineers who build systems that run in production — handling real patient data, real financial transactions, and real enterprise workloads. Every system we build is designed for production reliability, regulatory compliance, and operational scale. ### Why Brim Labs - **Production-First**: Every system is built for production from day one, not retrofitted from a proof-of-concept. - **Compliance Built-In**: HIPAA, SOC 2, GDPR, and EU AI Act compliance baked into architecture, not bolted on. - **250+ Systems Deployed**: Proven track record across healthcare, fintech, and enterprise. - **Engineering Depth**: We don't just integrate APIs. We build infrastructure — model orchestration, vector databases, inference pipelines, monitoring, and observability. --- ## Services & Engagement Models ### AI Infrastructure Builds End-to-end AI system design, development, and deployment. From architecture review to production launch, we own the technical delivery. Typical engagements run 12–28 weeks. ### AI Operations Subscription (AIOps) Ongoing AI system monitoring, optimization, retraining, and cost reduction. Monthly subscription model for production systems that need continuous care. ### AI Transformation Pods Embedded engineering teams (2–6 engineers) that integrate directly with your organization. They work inside your codebase, your systems, and your processes to deliver AI capabilities as if they were your own team. --- ## Solutions ### Agentic AI Systems Multi-agent orchestration for autonomous decision-making, reasoning, and task execution with human-in-the-loop oversight. We build specialized agents that coordinate dynamically, learn continuously, and maintain complete audit trails. ### Security & Compliance Enterprise-grade security architecture with automated compliance monitoring for HIPAA, GDPR, SOC 2, and EU AI Act. Includes multi-modal guardrails, real-time policy enforcement, encrypted pipelines, and adversarial detection. ### Enterprise Integration Seamless integration with CRM, EHR, LOS, core banking systems, and enterprise databases with zero-migration strategies. API-first architecture, real-time sync, legacy modernization, and multi-cloud support. ### Multi-Modal AI Production-ready AI across text, image, video, audio, and document processing with unified model orchestration. Document AI & OCR, image/video analysis, multi-modal embeddings, and model-agnostic routing. ### Predictive Analytics Custom ML models for forecasting, risk assessment, patient outcomes, and business intelligence. Time-series forecasting, patient stratification, fraud detection, and ensemble models. ### LLM Fine-Tuning & RAG Domain-specific LLM optimization through fine-tuning, prompt engineering, and retrieval-augmented generation. Custom fine-tuning, vector database design, context-aware retrieval, and performance monitoring. ### Real-Time Processing Low-latency AI inference pipelines supporting real-time applications from trading to clinical decision support. Sub-50ms inference, WebSocket streaming, event-driven architecture, and edge deployment. ### Custom AI Development End-to-end AI product development from research to production with ongoing optimization and cost reduction. Solution architecture, model evaluation, production DevOps, and continuous retraining. ### Data Privacy & Governance Privacy-first AI design with data anonymization, federated learning, and on-premises deployment options. Differential privacy, federated learning, air-gapped deployment, and data lineage tracking. --- ## Industries ### Healthcare - HIPAA-compliant AI pipelines with BAA support - EHR integration via FHIR and HL7 standards - Clinical NLP for unstructured medical records - FDA 510(k)-ready validation frameworks - PHI de-identification and synthetic data generation ### Fintech - Real-time transaction scoring under 50ms SLA - LOS and core banking API orchestration - Model risk management aligned with SR 11-7 - SOX-compliant audit trail infrastructure - PCI DSS tokenization and data isolation ### Enterprise - SSO/SCIM provisioning with RBAC enforcement - Multi-tenant data isolation architecture - Legacy system modernization via API gateway - On-prem and air-gapped deployment options - Custom SLA dashboards and incident runbooks --- ## Deployment Options - **Cloud-Native**: Scalable deployments on AWS, Azure, or GCP with auto-scaling and disaster recovery. Tags: AWS, Azure, GCP, Kubernetes. - **On-Premises**: Full control with private cloud or data center deployments. Tags: Private Cloud, Data Center, Air-Gapped. - **Hybrid**: Critical data on-prem, scalable compute in the cloud. Tags: Multi-Cloud, Edge, Distributed. - **Edge Deployment**: AI inference at the edge for ultra-low latency and offline use. Tags: Edge AI, IoT, Offline-First. --- ## Technology Stack ### ML Frameworks PyTorch, TensorFlow, Hugging Face, LangChain, JAX, Scikit-learn, XGBoost, FastAPI ### LLM Platforms OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, Cohere, Mistral, Open-source LLMs ### Vector Databases Pinecone, Weaviate, Qdrant, Chroma, Milvus, pgvector, Redis, MongoDB Atlas ### Infrastructure Kubernetes, Docker, Terraform, Ray, MLflow, Airflow, Prometheus, GitHub Actions --- ## Case Studies ### 1. Agentic AI Control Platform for Enterprise Safety & Compliance - **Client**: AetherLab (AI Infrastructure) - **Challenge**: Enterprise AI deployments faced critical gaps in safety, compliance, and observability across text, image, video, and audio modalities. - **Solution**: Production-grade agentic control platform with 30+ specialized micro-agents, model-agnostic supervisor routing, multimodal guardrails, and audit-ready logging. - **Results**: 30+ compliance agents, 99.7% policy enforcement accuracy, <50ms guardrail latency - **Timeline**: 24 weeks ### 2. AI Trading Co-Pilot for Real-Time Market Analysis - **Client**: Tradepal (Fintech) - **Challenge**: Active traders needed real-time AI-powered market insights, sentiment analysis, and price forecasting. - **Solution**: Comprehensive AI co-pilot platform streaming real-time sentiment analysis, intraday price forecasts using ensemble ML models, and breakout signals. - **Results**: <2s sentiment latency, 87% forecast accuracy, 10K+ active users - **Timeline**: 18 weeks ### 3. Autonomous AI Agents for End-to-End Mortgage Processing - **Client**: Fintor (Fintech) - **Challenge**: Manual document processing causing 40% slower closing times, high error rates, and scalability constraints. - **Solution**: Agentic AI platform with specialized mortgage agents for document intake, processor assistance, and predictive conditioning. - **Results**: 40% faster processing, 55% fewer errors, 2.5x faster to close, 80% lower costs - **Timeline**: 20 weeks ### 4. AI-Powered 3D Design Platform for Jewelry Manufacturing - **Industry**: Enterprise - **Challenge**: Jewelry designers faced bottlenecks in design-to-production workflows requiring extensive CAD expertise. - **Solution**: AI-powered 3D design platform with mesh generation from descriptions/sketches and parametric CAD translation. - **Results**: <30s concept to 3D model, 85% iteration time reduction, 5K+ active designers - **Timeline**: 16 weeks ### 5. AI-Driven Personalized Fertility Care Platform - **Industry**: Healthcare - **Challenge**: Fragmented fertility care with lack of personalization and minimal integration between fertility care and long-term health. - **Solution**: Holistic AI-powered fertility care platform combining personalized treatment planning with whole-body health optimization. - **Results**: 73% care delivery improvement, 4.8/5 patient satisfaction, 45% better outcomes, 60% faster diagnosis - **Timeline**: 20 weeks ### 6. Predictive AI Platform for Life Sciences R&D - **Client**: Clinica AI (Healthcare) - **Challenge**: Inefficient clinical trial recruitment, unpredictable patient outcomes, and limited real-world data insights. - **Solution**: Predictive platform leveraging 50,000+ patient features with production-grade ML supporting dozens of use cases. - **Results**: 50K+ patient features, 65% better recruitment, 78% predictive accuracy, 40% lower screen failure - **Timeline**: 24 weeks ### 7. AI-Powered Financial Policy Management Platform - **Client**: COMPD (Fintech) - **Challenge**: Complex, opaque systems for structured settlements with no instant valuation or flexible payout strategies. - **Solution**: AI-powered ecosystem with instant document extraction, payout simulation, and MoneyMatch optimization. - **Results**: <60s policy verification, 92% document automation, 68% payment optimization, 4.7/5 user satisfaction - **Timeline**: 22 weeks ### 8. AI-Powered Decarbonization Platform for Commercial Real Estate - **Industry**: Proptech - **Challenge**: Property owners facing pressure to decarbonize while managing costs with no unified solution. - **Solution**: AI-enabled SaaS platform with integrated marketplace connecting property owners with green/cleantech partners. - **Results**: 40% OPEX reduction, 100% NOI-positive financing, 35% value increase - **Timeline**: 28 weeks ### 9. Preventive Health Intelligence & Biomarker Analytics Platform - **Industry**: Healthcare - **Challenge**: Fragmented preventive health with limited biomarker testing and reactive care models. - **Solution**: AI-powered preventive health platform with 100+ biomarker testing, personalized health scoring, and longitudinal tracking. - **Results**: 63% early diabetes detection, 44% heart risk found, 70% aging deceleration, 100+ biomarkers tested - **Timeline**: 26 weeks --- ## How We Work 1. **Discovery & Architecture**: We start with a deep-dive into your systems, data, and goals. We produce an architecture document and implementation roadmap. 2. **Build & Iterate**: Agile sprints with weekly demos. We build in your codebase, use your tools, and integrate with your CI/CD. 3. **Deploy & Monitor**: Production deployment with observability, monitoring, alerting, and runbooks. 4. **Optimize & Scale**: Post-launch optimization for cost, latency, accuracy, and scale. --- ## Contact Information - **Website**: https://brimlabs.ai - **Email**: hello@brimlabs.ai - **Careers Email**: careers@brimlabs.ai - **LinkedIn**: https://www.linkedin.com/company/brim-labs/ - **Instagram**: https://www.instagram.com/brimlabs/ - **Schedule a Call**: https://calendly.com/brimlabs - **Address**: T3, B-1301, NX-One, Greater Noida West, Uttar Pradesh 201306, India --- ## Site Map - [Home](https://brimlabs.ai/) — Main landing page - [About](https://brimlabs.ai/about) — Team, mission, values - [Solutions](https://brimlabs.ai/solutions) — AI solutions and capabilities - [Case Studies](https://brimlabs.ai/case-studies) — Production deployment case studies - [Blog](https://brimlabs.ai/blog) — Technical articles - [Careers](https://brimlabs.ai/careers) — Open positions - [Get Started](https://brimlabs.ai/get-started) — Contact and engagement - [Terms](https://brimlabs.ai/terms) — Terms of service