We design, build, and deploy production-grade AI systems — from conversational agents to real-time analytics — for enterprises across healthcare, finance, energy, aerospace, and retail.

We are a team of AI engineers, data scientists, and full-stack developers specializing in end-to-end AI product development. Every project below is built in-house, deployed to production, and serving real users.

Enterprise-grade conversational AI with RAG pipelines, multi-modal retrieval, and domain-specific knowledge bases.

We build knowledge-driven chatbot platforms that go beyond generic LLM wrappers. Our systems feature retrieval-augmented generation (RAG) with vector search, document ingestion pipelines, real-time context management, and industry-specific fine-tuning. Deployed across finance, healthcare, retail, and legal verticals — each agent is purpose-built for its domain.

Key capabilities:

• Multi-document RAG with hybrid search (semantic + keyword)
• Agentic AI workflows with tool-calling and function orchestration
• Real-time streaming responses with sub-300ms latency
• Enterprise SSO integration and data isolation per tenant
• Automated document validation and compliance checking

Tech: TypeScript Next.js Python LangChain OpenAI AWS Bedrock Pinecone MongoDB Docker

Live: chatbots.reallytics.ai | gen-ai.reallytics.ai

_{6 repositories • 900K+ lines of code}

Context-aware voice agents that handle real phone calls — booking appointments, answering queries, and managing workflows — with human-like latency.

Novalytics is our AI calling agent platform — a suite of 10+ industry-specific voice assistants that handle inbound and outbound calls as intelligent receptionists. Each vertical (healthcare, finance, hospitality, energy, logistics) has its own trained agent with domain knowledge, appointment scheduling, and CRM integration.

Key capabilities:

• Real-time speech-to-speech with <300ms response latency
• Industry-specific voice agents: medical intake, hotel booking, IT support, energy compliance
• Appointment scheduling with calendar integration
• Call transcription, summarization, and analytics dashboard
• Multi-language support with accent adaptation

Vertical agents: EchoTrack Appointify Taskly Vault Remedi Nolan Mindseed Calar Aeris

Tech: Python JavaScript WebRTC AWS Twilio Whisper ElevenLabs MongoDB Docker

Live: novalytics.reallytics.ai

_{20+ repositories • Full-stack voice AI platform}

Interactive dashboards powered by LLMs — ask questions in natural language, get visual answers from your data.

Our data analytics platform combines traditional BI tools (Power BI, QuickSight, Tableau) with LLM-powered natural language querying. Users can ask questions about their data in plain English and receive interactive charts, statistical summaries, and actionable insights. The fraud detection system uses ensemble ML models to flag suspicious transactions in real-time.

Key capabilities:

• Natural language to SQL/visualization pipeline
• Real-time fraud detection with ensemble ML models
• Investment analysis with time-series forecasting
• Automated risk rating and credit scoring
• Interactive Power BI dashboards with LLM augmentation

Tech: TypeScript Python Jupyter Power BI Tableau scikit-learn XGBoost AWS QuickSight PostgreSQL

Live: data-analytics-platform.reallytics.ai

_{5 repositories • ML + BI hybrid platform}

Purpose-built AI for regulated and high-stakes industries — aerospace, manufacturing, oil & energy, and healthcare.

We develop vertical AI solutions for industries where accuracy and compliance are non-negotiable. From computer vision for aerospace defect detection, to predictive maintenance in manufacturing, to clinical workflow optimization — each solution is tailored to the domain's regulatory requirements and operational constraints.

_{10+ repositories • Domain-specific AI deployments}

Full-stack production applications — from AI-powered verification systems to hotel booking platforms and talent management.

_{8 repositories • Production web applications}

Automated content pipelines — from blog generation to product photography, podcasts, and game asset creation.

Purpose-built AI pipelines for content at scale: product ad generation with custom backgrounds, long-form blog writing with SEO optimization, podcast production with AI voices, and game asset generation. Each pipeline runs as a containerized microservice.

Tech: Python Stable Diffusion GPT-4 ElevenLabs Docker

_{6 repositories • Containerized AI content microservices}

Auto-generated articles with AI-crafted images — published daily to AI-Engineering-Notes

Multi Agent Ai Orchestration Patterns 2026-04-09

Real Time Multimodal Generative Ai For Interactive 2026-04-07

📚 View all articles →

💬 Commented on Non-LLM metrics (RougeScore, BleuScore, quoted_spans) have h in vibrantlabsai/ragas _(2026-04-10)

⭐ Starred awslabs/data-on-eks _(2026-04-10)

⭐ Starred microsoft/Machine-Learning-Patient-Risk-Analyzer-SA _(2026-04-10)

⭐ Starred Netflix/metaflow _(2026-04-10)

📝 Opened issue [Feature] Native ML experiment tracking integration in dagster-io/dagster _(2026-04-08)

💬 Commented on Add torch.export.ExportedProgram (.pt2) as an export format in ultralytics/ultralytics _(2026-04-08)

💬 Commented on Support DPO loss_type and loss_weights. in axolotl-ai-cloud/axolotl _(2026-04-08)

⭐ Starred Shilin-LU/MACE _(2026-04-08)

Topics discovered daily by a multi-model AI research engine (GPT-4.1, Grok-3, DeepSeek R1, Llama-4)

🔬 Real-Time Multimodal LLMs for Edge Devices

🔬 Real-Time AI Inference Optimization

🔬 Multi-Agent AI Orchestration Patterns

🔬 RAG (Retrieval-Augmented Generation) Optimization for Large-Scale Production

🔬 Real-Time Multimodal Generative AI for Interactive Applications

🔬 LLM Fine-Tuning at Scale with LoRA

📌 Webhook Event Processor for ML Model Alerts (Python) _(2026-04-07)

_{🤖 Profile auto-updated on 2026-04-10 09:05 UTC}

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