Real projects, real constraints, real outcomes, deep-dives into how we engineered solutions from first principles.
How we built an always-on AI reception platform that handles inbound calls, qualifies leads, books appointments, and escalates to humans, trained per-industry out of the box.
Building a CRM SaaS that gives digital agencies a single pane of glass over GitHub commits, YouTube analytics, PayPal revenue, and client pipeline, all bidirectionally synced.
Nexolve's own serialized fiction platform, built end-to-end and operated in-house. Chapter gating in under 5ms via Supabase Edge Functions, dual-market billing with Razorpay and PayPal, OLED-tuned reading UX.
Taking Pune's fragmented offline timber trade online, full-text material search by species/thickness/grade, trade credit checkout with GSTIN capture, and same-day Shiprocket delivery across Pune & PCMC.
How we built a founder intelligence platform that aggregates 12,000+ AI-validated problem statements, runs semantic search via pgvector, and auto-generates 2,000-word technical whitepapers on demand, now at $13,852 in idea pack revenue.
Building an enterprise AI adoption platform that installs a natural language interface on top of legacy databases, Oracle, SAP, PostgreSQL, with a custom MCP server, zero-knowledge architecture, and sub-1-second query latency.
Engineering a 3-model ML ensemble (LSTM + XGBoost + isolation forest) to give Jersey Island real-time supply chain risk scores across food, fuel, medicine, and general goods, with 30-day forecast horizons and live scenario simulation.
How we built a no-code AutoML platform where builders upload a dataset, describe a task in plain English, and receive a trained, deployed model REST API, every architectural decision handled by an AI orchestrator.
Building a two-portal MERN real estate platform for one of Pune's established residential developers, rich property pages, Google Maps integration, ISR-generated listings, and sub-10-second enquiry routing to the sales team CRM.
Book a free 20-minute scoping call. We'll listen to your problem, tell you honestly whether we're the right fit, and outline what build would look like.