Infble designs and ships production AI systems, custom software ecosystems, and secure data platforms. Senior engineering delivered in weeks — with complete ownership transferred to you.
Traditional consulting puts sales teams, account managers, and junior handoffs between you and the people writing your code. We removed all of it.
From production AI agents to full SaaS platforms — five disciplines, one senior team.
High-performance web applications and cross-platform mobile apps on React, Next.js, and Flutter — engineered for speed, accessibility, and scale.
Learn More →Production RAG systems, autonomous agent workflows, and Model Context Protocol (MCP) integrations that solve real operational problems — not demos.
Learn More →Fractional CTO advisory, architecture audits, and performance engineering that prevent expensive mistakes before they reach production.
Learn More →Multi-tenant architectures, row-level security, automated billing, and hardened authentication — the invisible machinery of a durable SaaS.
Learn More →Integration pipelines, secure webhooks with automatic retries, and Python automation that connects your tools and eliminates manual operations.
Learn More →No technical black boxes. Every engagement runs on weekly visible releases and a capped-cost scope agreed before we write code.
A free 30-minute feasibility session. We assess objectives, constraints, and legacy blockers.
Architecture, milestones, and a capped budget — agreed in writing before development begins.
Every Friday: a live staging link and a detailed changelog. You watch the product take shape.
Load testing, security review, and full handover of repositories, servers, and credentials.
A 30-day post-launch SLA covering performance, stability, and your first real users.
A production MVP for a multi-location super-speciality hospital chain in India — including four AI systems that don't exist in standard healthcare software.
Operations ran on fragmented third-party systems with high recurring license fees. Patient records sat in silos, sensitive data lived on infrastructure the client didn't control, and every patient interaction — from queries to appointment booking — depended on phone lines staffed only during working hours.
A proprietary platform consolidating scheduling, patient records, diagnostics, and billing — wrapped in an AI layer serving patients, operations, and leadership across four channels. Engineered for India's DPDP Act 2023 from day one, with consent capture and immutable audit trails across every touchpoint. The client owns 100% of the application, the data, and the infrastructure.
A 24/7 bilingual (English + Hindi) AI voice agent that handles patient support calls — built on an India-first sovereign language model, so no foreign infrastructure sits in the voice path. Every answer is grounded in the hospital's own knowledge base, and the operations team manages it from a live command centre with call monitoring, transcripts, and intent & sentiment analytics.
A direct Meta WhatsApp Business API integration — no third-party middleman — brings the same AI brain to the channel Indian patients already use. Verified patients book appointments through a guided, tap-to-reply flow. Automated reminders with tap-to-confirm buttons reduce no-shows without a single front-desk call. Opt-in is explicit, and opting out takes effect instantly.
Leadership asks the business database questions in plain English or Hindi and gets real-time answers — with the exact logic, source tables, and certified metric definition behind every number. Cross-domain queries spanning operations, billing, and HR return as one consolidated view, with each domain isolated at the query layer and logged on an immutable audit trail.
The public website assistant handles hospital information, emergency helpline routing, and complete appointment booking — by text or entirely by voice. End-to-end speech recognition and synthesis means an elderly or low-literacy patient books in three guided steps without typing a word. Strict guardrails ensure it never gives medical advice.
Infble was founded on a single conviction: a technology partner should never treat your product as a support ticket. We cap our workload at three concurrent engagements, so every system we build gets direct senior attention — daily, not quarterly.
Our engineering leadership brings eight years of experience across enterprise AI and data platforms, combining the agility of a senior product squad with the security discipline of global consulting teams.
Read Our Story & Values →Eight years across enterprise AI and data platforms; formerly a GenAI specialist at one of the world's largest IT consultancies. Deep expertise in RAG systems, Model Context Protocol (MCP) integrations, database migrations, and enterprise automation.
