AI & Automation
We integrate LLMs, build RAG pipelines, fine-tune models, and automate workflows — turning AI from an experiment into production-grade infrastructure that compounds over time.
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AI capabilities we deliver
From LLM integration to production ML deployment — we build AI systems that are reliable, observable, and cost-efficient.
LLM Integration (GPT / Claude)
Embed OpenAI GPT, Anthropic Claude, and open-source models into your product with structured outputs, function calling, and context management.
RAG Development
Retrieval-Augmented Generation pipelines using vector databases (Pinecone, Qdrant, pgvector) for accurate, citation-grounded AI responses.
Fine-Tuning
Domain-specific model fine-tuning on your proprietary data — smaller, cheaper, and more accurate than general-purpose models for your use case.
Workflow Automation (n8n)
Visual workflow automation with n8n, Temporal, and custom orchestration — eliminating manual handoffs and reducing ops overhead by 80%.
ML Deployment
Serve models on Kubernetes with autoscaling, A/B testing, canary rollouts, and full observability via MLflow and W&B.
AI Analytics
Track LLM latency, token costs, hallucination rates, and user satisfaction. Build the feedback loops that make your AI smarter over time.
What we've built
Real-world AI use cases delivered in production for B2B and B2C products.
Intelligent document processing
Extract structured data from contracts, invoices, and forms at scale.
Customer support automation
AI agents that resolve 60%+ of tickets without human intervention.
Internal knowledge bases
RAG-powered search over your internal docs, wikis, and runbooks.
Code generation tooling
Custom Copilot-style assistants trained on your codebase and conventions.
Predictive analytics
ML models for churn prediction, demand forecasting, and anomaly detection.
Content personalization
LLM-driven dynamic content tailored to each user segment in real time.
Packages in INR
Service Packages
Structured packages to help you pick the right service scope. Final package values may vary based on integration depth, delivery timelines, and custom requirements.
AI Feature Starter
Ship a practical AI-driven feature inside your existing product workflow.
one-time
Delivery: 2–3 weeks
- AI API integration
- Basic workflow
- UI
Best for: AI feature
Need a custom scope? We can tailor this plan to your exact requirements.
BuyAI Workflow Automation
Automate repetitive operations using multi-step AI-powered workflows.
one-time
Delivery: 3–6 weeks
- Multi-step automation
- AI logic
- Integrations
Best for: Ops automation
Need a custom scope? We can tailor this plan to your exact requirements.
QuoteAI Platform Integration
Integrate advanced AI services across pipelines, agents, and infrastructure.
one-time
Delivery: 6–10 weeks
- AI services
- Pipelines
- Agents
- Infra
Best for: AI products
Need a custom scope? We can tailor this plan to your exact requirements.
QuoteFrequently asked questions
Answers to common questions about our AI & Automation services.
How fast can you start a AI & Automation engagement?
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Most projects start within 1-2 weeks after discovery. We align on scope, delivery plan, and communication rhythm before kickoff so execution is predictable from day one.
Do you work with existing teams and legacy systems?
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Yes. We can embed with your internal team, modernize existing systems, and incrementally ship improvements without disrupting current operations.
How do you estimate pricing and timelines?
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We provide estimates after a short discovery phase. You receive a clear breakdown of milestones, dependencies, and deliverables with transparent cost and timeline assumptions.
Can you provide ongoing support after the initial ai & automation delivery?
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Absolutely. We offer post-launch support, performance optimization, and managed operations so your team can scale confidently after release.
Ready to ship production AI?
We scope, build, and operate AI systems that actually work — not demos.