Production-ready solutions for complex technical challenges
We build systems that handle identity verification, payments, video processing, AI recommendations, enterprise knowledge management, and autonomous AI agents. Engineering-driven solutions designed to scale in the real world.
What is KYC verification? We build compliant identity verification systems with document verification, selfie & liveness detection, device fingerprinting, fraud scoring, and third-party integrations. GDPR and EU regulatory compliant.
What is PSD2 compliance? We build European payment systems with Strong Customer Authentication (SCA), SEPA integration, Stripe subscriptions, MangoPay marketplace flows, and multi-currency handling. GDPR compliant payment infrastructure.
Expert video processing solutions: transcoding, HLS/DASH adaptive streaming, scalable pipelines, cost optimization, and AI-powered video analysis. Custom video infrastructure for startups and enterprises.
Build enterprise RAG systems with vector databases, intelligent chunking, and secure deployment. Production-ready retrieval-augmented generation for knowledge bases, customer support, and document processing.
Build AI agents that autonomously execute business tasks: multi-agent architectures, tool-using agents, workflow orchestration, and production-grade guardrails. Custom agentic AI solutions for operations, sales, support, and research.
Build comprehensive digital infrastructure for sports federations. Athlete management, tournament scheduling, live scoring, official apps, and governance tools for any sport—football, cricket, basketball, tennis, rugby, and more.
Build comprehensive property and society management platforms. Resident portals, facility booking, maintenance management, visitor tracking, accounting, and AI-powered community engagement for residential complexes, gated communities, and commercial properties.
Build storage facility and logistics management platforms. Subscription-based storage, warehouse operations, inventory tracking, pickup/delivery scheduling, and AI-powered space optimization for self-storage, warehousing, and fulfillment services.
Build e-learning platforms and learning management systems. Course creation, student management, assessments, live classes, AI tutoring, and analytics for edtech companies, corporate training, and educational institutions.
Build fan engagement platforms for sports, entertainment, and media. Fantasy sports, live experiences, loyalty programs, social features, and AI-powered personalization for teams, leagues, and entertainment brands.
Build intelligent voice AI agents that handle calls, appointments, and customer interactions in multiple languages — Hindi, Tamil, Kannada, Telugu, and English.
AI voice agents are intelligent systems that can make and receive phone calls, understand natural speech, respond conversationally, and take actions like booking appointments or processing orders. Unlike traditional IVR systems that force callers through rigid menus, voice agents use large language models to understand intent, handle interruptions, and speak naturally. They operate 24/7, handle thousands of concurrent calls, and cost a fraction of human agents — typically Rs 1-2 per conversation versus Rs 50-100 for a human agent. Boolean & Beyond builds custom voice agents with multilingual support for Indian languages, integrated with your CRM, calendar, and business systems.
Who it's for
Call centres handling 500+ calls/dayHealthcare clinics needing appointment schedulingD2C brands with high order volumeInsurance companies processing claimsReal estate firms qualifying leadsRestaurants managing reservations
Key capabilities
Multilingual voice AI (Hindi, Tamil, Kannada, Telugu, English)
Solution 15
Private LLM & On-Premise AI Deployment
Deploy large language models on your own infrastructure — full data privacy, regulatory compliance, zero data leaving your network.
Private LLM deployment means running large language models like Llama, Mistral, or fine-tuned models on your own servers or private cloud — not sending data to OpenAI or Google. This is critical for organizations bound by RBI data localization rules, HIPAA compliance, DPDP Act requirements, or internal data governance policies. Your prompts, documents, and responses never leave your infrastructure. Boolean & Beyond builds private AI deployments on AWS, Azure, GCP private cloud, or bare-metal servers. We handle model selection, infrastructure sizing, fine-tuning on your domain data, and production deployment with monitoring. Typical inference costs drop 60-80% compared to API-based LLMs at scale.
Who it's for
Banks and financial institutions (RBI compliance)Healthcare organizations (HIPAA, patient data)Government agencies (data sovereignty)Legal firms (client confidentiality)Defence and aerospace (classified data)Enterprises with DPDP Act obligations
AI for manufacturing uses computer vision, machine learning, and predictive analytics to automate quality inspection, predict equipment failures, optimize production schedules, and reduce waste. In textile manufacturing, AI-powered cameras detect fabric defects in real-time at 99%+ accuracy — catching flaws that human inspectors miss 15-20% of the time. In auto parts manufacturing, predictive maintenance reduces unplanned downtime by 30-50%. Boolean & Beyond builds custom AI solutions for Indian manufacturers — from textile mills in Tirupur and Coimbatore to auto parts factories in Bangalore and Chennai. We integrate with existing SCADA, MES, and ERP systems. 99% of Indian manufacturers are now investing in AI, and the market is growing at 14.26% CAGR to reach Rs 29,000 crores by 2029.
Who it's for
Textile manufacturers (fabric inspection, defect detection)Auto parts manufacturers (quality control, predictive maintenance)Food processing plants (safety compliance, packaging inspection)Pharmaceutical manufacturers (batch monitoring, compliance)Electronics assembly (PCB inspection, component verification)Any factory with 100+ daily production units
Solution 17
MCP Implementation & AI Tool Integration
Connect AI agents to your business tools using Model Context Protocol (MCP) — the open standard for AI-to-system integration by Anthropic.
Model Context Protocol (MCP) is an open standard created by Anthropic that lets AI agents securely connect to external tools, databases, APIs, and business systems. Think of MCP as a USB-C port for AI — one standard protocol that connects any AI model to any tool. Instead of writing custom integrations for each AI model and each tool, MCP provides a universal interface. Your AI agent can query your database, search your documents, call your APIs, send emails, update CRM records, and trigger workflows — all through standardized MCP servers. Boolean & Beyond builds custom MCP servers and integrations that connect Claude, GPT-4, and open-source LLMs to your existing business systems. We are early adopters of MCP since its release in November 2024, with production deployments connecting AI agents to ERP, CRM, and internal tools.
Who it's for
Enterprises building AI agent workflowsCompanies using Claude or GPT in productionTeams with multiple internal tools to connectSaaS companies adding AI featuresDevOps teams standardizing AI integrationsCTOs evaluating agentic AI architecture
Key capabilities
Solution 18
Enterprise AI Copilot & Internal Knowledge Base
Build a private ChatGPT for your company — an AI assistant that knows your documents, policies, products, and processes.
An enterprise AI copilot is a private AI assistant trained on your company's internal knowledge — documents, SOPs, product manuals, HR policies, sales playbooks, engineering docs, and customer data. Unlike generic ChatGPT, your copilot gives accurate answers grounded in YOUR data, with source citations. Employees ask questions in natural language and get instant, accurate answers instead of searching through 50 Confluence pages or waiting for a colleague to respond. Built using RAG (Retrieval-Augmented Generation) architecture, your copilot connects to your existing knowledge sources (Google Drive, Confluence, SharePoint, Notion, databases) and stays automatically updated. It respects access controls — sales sees sales data, engineering sees engineering docs. Boolean & Beyond builds custom enterprise copilots that reduce internal query resolution time by 70-80% and save 2-3 hours per employee per week.
Who it's for
Enterprises with 100+ employees and scattered documentationIT companies with complex internal knowledge basesCustomer support teams needing instant product knowledgeHR departments handling repetitive policy questionsSales teams needing quick access to product and pricing info
Solution 19
WhatsApp AI Agent for Business
Deploy an AI employee on WhatsApp Business that handles customer queries, takes orders, books appointments, and qualifies leads — 24/7 in any Indian language.
A WhatsApp AI agent is an intelligent AI assistant deployed on WhatsApp Business API that handles customer conversations autonomously. Unlike simple chatbots with scripted responses, a WhatsApp AI agent understands natural language, maintains conversation context across messages, accesses your product catalogue and CRM in real-time, and can complete transactions — from taking food orders to booking appointments to processing insurance claims. With 500+ million WhatsApp users in India, this is the most natural channel for customer interaction. Boolean & Beyond builds custom WhatsApp AI agents that handle 80-90% of customer queries without human intervention, at a cost of Rs 2-5 per conversation versus Rs 50-100 for human agents. We integrate with Razorpay for payments, Shiprocket for delivery tracking, and your existing CRM and inventory systems.
Who it's for
D2C brands handling 200+ daily WhatsApp queriesRestaurants and food delivery businessesHealthcare clinics managing appointmentsReal estate developers qualifying leadsInsurance agents processing claims and renewalsEducation institutions handling admissions queries
Expert Rust systems programming services. Build high-performance backends, data pipelines, WebAssembly modules, and infrastructure software with zero-cost abstractions and memory safety guarantees.
Expert AI agent development services. Build autonomous AI agents that reason, plan, and execute complex tasks. Multi-agent systems, tool integration, and production-grade agentic workflows with LangChain, CrewAI, and custom frameworks.
End-to-end Gemini Embedding 2 implementation for enterprises in Bengaluru and across India. From multimodal embedding architecture to production-grade RAG pipelines, semantic search, and cross-modal retrieval systems — we partner with your team to deliver measurable AI outcomes.
Who it's for
Product teams adding multimodal search to their platformEnterprises unifying knowledge search across documents, images, and videoE-commerce companies building visual product discoveryAI teams migrating from text-only embedding models to multimodalStartups building RAG-powered applications on Google Cloud
Expert AI automation services for businesses. Automate complex workflows with intelligent AI systems. Document processing, data extraction, decision automation, and workflow orchestration powered by LLMs.
End-to-end Rust implementation for companies in Bengaluru and across India. From backend services and data pipelines to WebAssembly, CLI tooling, and C/C++ migration — we partner with your team to ship production Rust that's fast, safe, and maintainable.
Who it's for
Engineering teams rewriting performance-critical services from Java, Go, or PythonCompanies migrating legacy C/C++ codebases to memory-safe RustStartups building developer tools and CLI applicationsFintech companies needing predictable low-latency transaction processingTeams building WebAssembly modules for browser-based computeIoT and embedded companies needing memory-safe firmware
Key capabilities
Rust backend API development (Axum, Actix-web, Tonic)
Solution 25
Apache Kafka & Real-Time Streaming Implementation Partner — Bengaluru, India
End-to-end Apache Kafka and event-driven architecture implementation for enterprises in Bengaluru and across India. From Kafka cluster setup and stream processing to event sourcing, CQRS, and real-time analytics pipelines — we build streaming infrastructure that scales.
Who it's for
Fintech companies building real-time transaction processingE-commerce platforms needing real-time inventory and pricingSaaS companies implementing event-driven microservicesAnalytics teams building real-time dashboards and alertingLogistics companies tracking deliveries and fleet in real-timeEnterprises migrating from batch ETL to stream processing
Expert LLM integration services. Integrate ChatGPT, Claude, GPT-4 into your applications. Production-ready API integration, prompt engineering, and cost optimization for enterprise AI deployment.
End-to-end mobile app development using Flutter and React Native for companies in Bengaluru and across India. From UI design and native module development to app store deployment and ongoing maintenance — we build cross-platform apps that feel native on both iOS and Android.
Who it's for
Startups launching their first mobile app on iOS and AndroidEnterprises building internal mobile tools for field teamsE-commerce companies needing high-performance shopping appsSaaS companies extending their web platform to mobileCompanies migrating from native iOS/Android to cross-platformTeams needing React Native or Flutter expertise to augment their staff
Key capabilities
React Native app development (Expo and bare workflow)
Expert RAG implementation services. Build enterprise-grade Retrieval-Augmented Generation systems with vector databases, semantic search, and LLM integration. Production-ready RAG solutions for accurate, contextual AI responses.
Navigate the growing landscape of vector databases and embedding models with a partner who has production experience across the stack. We help product and engineering teams evaluate, architect, and implement the right combination of embedding models (Google Embedding 2, OpenAI, Cohere, open-source) and vector databases (HydraDB, Pinecone, Weaviate, pgvector, Qdrant) for their specific requirements.
Who it's for
Product managers evaluating vector database and embedding optionsEngineering teams building their first AI-powered search or RAG systemCompanies migrating from legacy search to semantic retrievalEnterprises with data residency requirements needing self-hosted solutionsStartups choosing between managed services and open-source infrastructure
Key capabilities
Embedding model evaluation and benchmarking on your data
Production-grade vector search on PostgreSQL using pgvector, from index design and query optimization to migration planning when you outgrow it. We help teams add semantic search, RAG, and recommendation features without overcomplicating their infrastructure.
Who it's for
Engineering teams adding vector search to existing PostgreSQL applicationsStartups building AI search features on a lean infrastructure budgetProduct teams evaluating pgvector vs dedicated vector databasesCompanies needing vector search with transactional consistencyTeams planning migration from pgvector to Pinecone or Weaviate at scale
Key capabilities
pgvector installation, indexing, and query optimization
HNSW and IVFFlat index tuning for production workloads
Production-grade RAG pipelines built for performance, maintainability, and your specific retrieval requirements. We design, build, and optimize retrieval-augmented generation systems, from document ingestion and embedding to custom retrieval logic and LLM integration, without unnecessary framework overhead.
Who it's for
Product teams building their first RAG-powered featureEngineering teams migrating away from LangChain to custom pipelinesCompanies needing domain-specific retrieval quality improvementsEnterprises building internal knowledge search and Q&A systemsStartups needing production-ready RAG with limited engineering bandwidth
Key capabilities
Custom RAG pipeline architecture and development
Document ingestion and intelligent chunking strategies
Solution 32
Real-Time ML Pipeline Architecture Partner, Bengaluru
Production event streaming for machine learning, from feature stores and real-time inference to model serving and A/B testing infrastructure. We architect and implement ML pipelines on Kafka, Pub/Sub, and Kinesis that handle production scale with the reliability your models depend on.
Who it's for
ML teams building real-time feature storesEngineering teams adding online inference to their productCompanies migrating from batch prediction to real-time MLEnterprises choosing between Kafka and managed event streaming for MLStartups building event-driven AI productsTeams with ML latency SLAs they are currently not meetingCompanies dealing with data quality issues in feature pipelines
Key capabilities
Apache Kafka deployment and tuning for ML workloads
From API-based prototypes to fine-tuned production models, we help product teams navigate the build-vs-buy decision for LLM-powered features. End-to-end implementation covering training data curation, model fine-tuning, evaluation, GPU-optimized deployment, and hybrid routing architectures that balance cost and quality.
Who it's for
Product teams evaluating fine-tuning vs API for their LLM featuresCompanies with high token volume looking to reduce LLM API costsEnterprises with data privacy requirements needing self-hosted modelsEngineering teams deploying their first fine-tuned model to productionStartups building domain-specific AI products on open-source models
Key capabilities
LLM fine-tuning (LoRA, QLoRA) on Llama, Mistral, Qwen, and others
Reliable orchestration for AI agent pipelines, multi-step inference workflows, and long-running LLM tasks. We implement Temporal, BullMQ, Inngest, and custom orchestration layers that make your AI backend durable, observable, and scalable, so agent failures become retries, not outages.
Who it's for
Teams building AI agent systems that need reliable multi-step executionCompanies with LLM-powered features hitting reliability issues in productionEngineering teams choosing between Temporal and simpler queue-based approachesStartups building AI products that need background job processingEnterprises implementing human-in-the-loop AI workflows
Key capabilities
Temporal workflow design and deployment for AI pipelines
BullMQ implementation with AI-specific patterns (rate limiting, retries)
Real Outcomes, Not Just Architecture
Teams usually come to us overwhelmed by delivery delays, fragile automations, or AI pilots that never reach production. These are the exact transformations that changed that story.