Mangalam AI designs and builds enterprise platforms with AI in their architecture from the first line of design, delivered with native companion apps for iPhone, iPad and Mac. Every system is engineered on 20 years of experience in regulated, high-volume industries.
To build enterprise software where intelligence is part of the architecture, and to put it in the hands of every person who relies on it, on every screen they use.
Models, agents and automation are designed into the data flows and workflows, with guardrails and evaluation from day one.
Secure, observable and built for the scale, compliance and integration demands of regulated industries.
A web platform with native companions for iPhone, iPad and Mac, built on one shared backend.
We build our own products and platforms for clients to the same blueprint. Each one brings together these capabilities, with AI running through all of them.
Business systems where prediction, document understanding and AI assistants work directly on your data and workflows, governed by clear permissions and audit trails.
iPhone, iPad and Mac apps that bring the platform to the field, the floor and the desk, with secure sign-in, offline support and on-device intelligence.
API-first products, reliable webhooks, developer portals and identity (OAuth2/OIDC) that connect partners, customers and existing systems.
Ingestion, historisation and secure data sharing that give both your people and your AI accurate, governed data to work from.
Customer onboarding, subscriptions, usage metering and payments, so a platform can be sold, adopted and scaled without manual effort.
Event-driven, cloud-native infrastructure on AWS or Azure, with monitoring, incident response and runbooks built in.
Every system we build follows the same three-layer architecture. AI reads from a trusted platform and powers every screen above it.
Role-based web applications and native Apple apps, sharing one identity and one backend.
Prediction, document and image understanding, and AI assistants that use your systems through governed tools.
Event-driven services, partner APIs, data products and billing on secure, observable cloud infrastructure.
Systems designed and delivered in recent years for demanding, regulated industries. Client names stay private; the depth of the work speaks for itself.
Real-time vessel and container events delivered to shipping lines and software providers through webhooks, with entitlement-gated routing, staged rollouts and eight customer release cycles.
Usage metering and unified billing refined over 16 design versions, plus a 7-step sign-up flow with card payments, designed end to end and broken into 18 epics.
Ingestion, historisation and secure data sharing between organisations, with keyless access and customer BI views. 8+ facilities onboarded onto one reusable pattern.
A single payment engine built from scratch for a private health insurer, and event-driven processing for multi-scheme healthcare claims.
Real-time online auction bidding, an IoT-enabled booking platform rebuilt as event-driven microservices, and on-premises products moved to the cloud.
A team-wide AI-assisted SDLC standard with MCP integrations, a spec-to-backlog pipeline, and ML prototypes including ETA prediction and automated code review.
The same four steps for every platform we build, ours or yours. Quality comes from the process, so the process is never skipped.
Stakeholder sessions, a review of what exists, and spikes to retire the biggest risks first.
A solution design with options, trade-offs, NFRs and ADRs, reviewed before code is written.
A clear backlog, tested code, feature toggles and staged rollouts instead of big-bang releases.
Monitoring, alerting, runbooks and handover docs, so the system stays healthy after launch.
A new AI-native platform and its Apple apps, owned end to end from design document to production.
Bring intelligence and native apps to an existing system, without disrupting the business that runs on it.
Architecture reviews and ongoing technical leadership for teams building their own platforms.
Mangalam AI is founded and led by Chirag Joshi, a principal engineer and solution architect who has spent two decades building systems behind healthcare claims, insurance payments, trading, live auctions, smart parking and national logistics.
Every platform is led by the founder personally. You work directly with the person who writes the design and the code.
Whether it's a new platform, AI for an existing system, or apps for your teams on iPhone, iPad and Mac, tell us what you're working on.