AI Integrations.
Practical AI embedded into your business workflows — not a science project. We integrate language models, document processing, and intelligent automation into the tools your team already uses.
AI that reduces manual work, improves accuracy, and speeds up decisions. Built to work alongside your existing systems, not replace them.
AI that works in practice, not just in demos.
We don't sell AI for the sake of it. Here are the types of problems we solve — practical, measurable, and integrated into your existing workflow.
Auto-Classify Support Tickets
An AI layer that reads incoming support tickets, classifies urgency and category, and routes to the right team — before a human touches it.
Smart Document Intake
Upload contracts, invoices, or applications. AI extracts key fields, validates data, and populates your CRM or ERP automatically.
AI-Assisted Communication
Generate contextual email responses, WhatsApp follow-ups, and proposal sections using AI trained on your tone, policies, and history.
Knowledge Base Search
Let your team or customers ask questions in natural language and get answers from your documentation, SOPs, and past communications.
AI capabilities we integrate.
From single-task automation to complex multi-model pipelines — we build the AI layer your business needs.
LLM Integration
Integrate OpenAI, Gemini, Anthropic, or open-source models into your existing tools — not as a chatbot, but as an operational layer.
Document Processing
AI-powered extraction, classification, and summarisation of documents — invoices, contracts, reports, and forms processed at scale.
Conversational Interfaces
Intelligent chatbots and assistants that understand context, handle multi-turn conversations, and integrate with your CRM or support system.
Smart Search & Retrieval
Semantic search over your knowledge base, documentation, or product catalogue. Natural language queries that return relevant results.
Workflow Automation
AI-driven decision making in your existing workflows — automatic lead scoring, content generation, smart categorisation, and routing.
Data Extraction
Pull structured data from unstructured sources — emails, PDFs, websites, and images. Clean, validated, and ready for your systems.
AI Recommendations
Product recommendations, content suggestions, and predictive insights tailored to your business data and user behaviour.
Custom AI Pipelines
End-to-end AI pipelines combining multiple models, APIs, and business logic — RAG systems, multi-agent workflows, and custom fine-tuning.
How we integrate AI.
We start with your workflow, not with the technology. AI is the tool — your operational improvement is the goal.
Workflow Audit
We map your current processes, identify repetitive or decision-heavy tasks, and quantify the time and cost of manual handling.
AI Feasibility
Not everything needs AI. We evaluate which tasks benefit from language models, which need rules, and which are better left manual.
Prototype & Test
A working prototype tested against your real data. We measure accuracy, speed, and edge-case handling before committing to production.
Integration Build
Production integration into your existing systems — API endpoints, webhooks, background jobs, and error handling included.
Human-in-the-Loop
We design feedback mechanisms so your team can review, correct, and improve AI outputs over time. The system gets smarter.
Monitor & Improve
Post-launch analytics on AI performance, cost tracking per call, and iterative prompt/model improvements as your needs evolve.
Our AI technology stack.
We work with leading AI frameworks and providers — and we're model-agnostic, choosing the best fit for your specific use case.
LLM Providers
OpenAI, Gemini, Anthropic, Llama
Frameworks
LangChain, LlamaIndex, Vercel AI
Vector DBs
Pinecone, Weaviate, pgvector
Backend
Node.js, Python, NestJS
Infrastructure
AWS, Docker, Redis Queue
Integrations
WhatsApp API, SendGrid, Zapier
Often combined with AI work.
AI integrations work best when paired with the systems they power.
CRM & Automation
AI-powered lead scoring, auto-classification, and intelligent workflow routing inside your CRM.
Learn moreSaaS Development
Embed AI features into your SaaS product — smart search, recommendations, and content generation.
Learn moreCloud & Infrastructure
Scalable infrastructure for AI workloads — GPU instances, queue systems, and cost-optimised pipelines.
Learn moreFrequently asked questions.
Do you build AI products from scratch?
We primarily integrate AI into existing business systems and workflows. If you need a standalone AI product, we can build that too — but our strength is making AI useful within your current operations.
Which AI models do you work with?
We work with OpenAI (GPT-4, GPT-4o), Google Gemini, Anthropic Claude, and open-source models like Llama. We choose the model based on your use case, budget, and data privacy requirements.
How do you handle data privacy with AI?
We implement data isolation, use enterprise API agreements with AI providers, and can deploy open-source models on your own infrastructure when data sensitivity requires it.
What does an AI integration project typically cost?
Projects range from ₹2–8 lakhs depending on complexity. A single-workflow integration is on the lower end; a full RAG system with custom pipelines is on the higher end.
Can AI really replace manual work in our business?
Not replace — reduce. We target high-volume, repetitive tasks where AI handles 80% of the work and humans review the rest. This is where ROI is clearest and risk is lowest.
Ready to build your
digital infrastructure?
Tell us about your business and the problems you're trying to solve. We'll respond with a clear, practical assessment within 4 hours.
Usually responds within 4 hours