AI Development Company in India for Custom AI Solutions

Bluelupin designs, builds and runs AI agents and copilots, RAG search and knowledge assistants, chatbots, intelligent document processing and AI workflow automation, and connects them to your existing ERP, CRM and internal tools.

Yes. We connect AI to ERPs, CRMs, helpdesks, data warehouses and custom applications through APIs, webhooks and event-driven pipelines. Systems we work with include Zoho, Salesforce, HubSpot, Odoo, SAP, ERPNext, Slack, Microsoft Teams, BigQuery and Redshift. Your core systems stay in place.

We pick the model for each project based on accuracy, cost, speed and data residency needs. We work with OpenAI GPT models, Anthropic Claude, Meta Llama and other open-source models, and we design to avoid vendor lock-in where possible. Bluelupin is an OpenAI partner.

Yes. For quick pilots we use n8n workflows with ready connectors for chat, CRM, ERP and analytics. We prototype with n8n, OpenAI or LangChain agents and mock data to test user journeys before we build the full system.

We build in role-based access, data isolation, encryption, audit logging and guardrails on model outputs, and we use secure API patterns. Each system is designed to fit your identity and data governance policies.

We test models with evaluation frameworks before and after launch, add guardrails on outputs and keep a person in the loop to review accuracy. Knowledge systems built with RAG answer with citations to your own documents.

Yes. Bluelupin designed and built IndiaAI, India's national AI portal, with MeitY and NeGD. For government projects we design for least-privilege access, encryption in transit and at rest, audit logging and deployment on approved cloud regions.

Data residency is one of the factors we use to choose models and hosting, and we deploy on approved cloud regions that match your security policies.

We agree success measures before we build, such as handling time, automation rate, accuracy, cost savings or revenue impact. Dashboards and evaluations then track the system in production.

Yes. Every project starts with a short strategy and readiness phase: we agree the first use case, check your data and systems, and plan a pilot. That phase leads straight into the build.

No. Strategy, readiness, governance and rollout are phases of every Bluelupin build. Each project starts with a strategy and readiness phase, and governance and responsible AI controls are built into the system we deliver and run.

Yes, as part of every build. On every project we agree who owns and approves each AI system, use tiered review for high-risk use cases, keep audit logs and a record of models and versions, set approvals by role, put guardrails on what each AI agent can do, and test for accuracy and safety before and after launch.

Yes. Our AI Model Monitoring and Optimization service covers monitoring, drift detection, evaluation pipelines and optimization. We can also take over existing LLM, RAG and ML systems after a technical assessment and knowledge transfer.

Yes. We co-deliver through embedded squads and share architecture decisions, runbooks and knowledge transfer so your team owns the platform.

A first prototype can be ready in 1 to 2 weeks. Pilots usually take 4 to 8 weeks, and production systems with integrations, monitoring and governance usually take 3 to 6 months, depending on data readiness, scope and compliance needs.

The cost depends on scope. The main drivers are the number of use cases and systems we connect, how ready your data is, the approval and review steps, how much testing the system needs, model usage, and the monitoring and support it needs after launch. We can talk through these for your project on a call.

You do. Once the project is paid for, you own the code, prompts, evaluation sets and configuration we build for you. The underlying AI models stay with their providers, such as OpenAI or Anthropic.