AI & Data Analytics
Transform Data Into AI-Powered Business Growth
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Data Platforms, AI Systems and Business Intelligence
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AI-powered solutions built around measurable business intelligence.
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Go from online presence to real business impact
Strategy, execution, and digital experiences designed to move together.
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When you analyse first, growth follows.
FAQs
Your questions,
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Everything you need to know about our high-velocity AI creative partnership.
What AI services does PS provide?
LLM integration using Claude and OpenAI, RAG pipelines for document intelligence, AI agents for business process automation, ML model development, AI-powered dashboards, and MCP server development for enterprise AI connectivity.
How much does AI development cost in India?
Stage 0 analytics audit from ₹40,000. Stage 1 foundation from ₹1,00,000. Stage 2 data infrastructure ₹3,00,000–6,00,000. Stage 3 AI integration ₹6,00,000–12,00,000. Stage 4–5 enterprise AI platforms from ₹12,00,000 upward.
What is the difference between AI integration and building an AI product?
AI integration adds LLM features to an existing product. Building an AI product means AI is the core value. PS does both. Stage 2–3 is typically integration. Stage 4–5 is AI-native product development.
How does PS ensure AI features work reliably in production?
Every AI integration includes evaluation sets, confidence thresholds, graceful degradation, fallback logic, and monitoring. We do not ship AI that fails unpredictably. Production systems have human-in-the-loop design at points where failure has business consequences.
What analytics platform does PS recommend?
For most businesses: GA4 for web measurement, PostgreSQL for business data, Metabase for dashboards. For higher scale: BigQuery with dbt and Looker. For AI-powered analytics: custom Python with Claude API for natural language query. Recommendation always depends on data volume, team capability, and budget.
Can PS help with data that is currently a mess?
Yes. Data cleanup and normalisation is Stage 1 in most data engagements. We audit current state, identify what is usable, clean it, and build a pipeline that keeps it clean.