Joyful child learning
Local-language early learning content and age-matched daily activity plans, with delivery and engagement tracked for every centre.
Corporate Social Responsibility · AI Anganwadi 360Building technology
Building technology
for the world's
youngest.
Every life starts somewhere. For millions of children in rural India, it starts at an Anganwadi, a village centre for early learning, nutrition and care. As our CSR commitment, Kuvaka is building AI-native technology for these centres, starting with ten in Madhya Pradesh.
Same standards as our client work. Same engineering team. Built for villages where the network drops, the power flickers, and the stakes could not be higher.
10
AI-enabled Anganwadi centres
5
districts in Madhya Pradesh
12
months, with stage gates
1
Intelligence & Command Centre
Our CSR commitment
Intelligence should reach the village, not just the boardroom.
Our mission is technology for the world, not just those who can afford it. CSR is where we test that promise hardest: in places with the least infrastructure and the most at stake.
AI Anganwadi 360 is not a donation or a logo on a banner. It is a product. We design it, build it, deploy it, support it and measure it, with the same guarantees on scope and quality that every Kuvaka engagement carries.
And, as with everything we build, we intend to share what we learn so that others can build on it.
Our visionEvery Anganwadi.
Every Anganwadi.
Every child.
Every village.
A future where every Anganwadi is an intelligent centre, where a worker knows which child needs help today, a parent hears from the centre in their own language, and no child's need goes unseen.
The future of care will not be defined by human effort or machine intelligence alone. It will be defined by how well they work together, most of all in the places that need it most.
Why this, why now
The first six years shape a lifetime.
97,806
Anganwadi and mini-Anganwadi centres in Madhya Pradesh (2025-26)
61.58 lakh
registered beneficiaries in Madhya Pradesh (2025-26)
Most of a child's brain develops before the age of six. The learning, nutrition and care a child receives in these years shape how they do in school and in health, and what they go on to earn. Too many children fall behind before they ever reach a classroom.
India built the world's largest network of early childhood centres to change that. Madhya Pradesh alone has nearly one lakh Anganwadis. Workers already carry smartphones, centres already have growth-monitoring devices, and POSHAN Tracker already records the data.
The digital backbone exists. What is missing is the step from data to action.
A worrying growth trend still waits for someone to notice it. A closed centre goes unreported for days. Anganwadi workers spend hours on registers instead of children. Weak networks break tools that were designed for cities.
This is exactly the problem Kuvaka exists to solve.
Across healthcare, manufacturing and enterprise, we have seen the same pattern: technology is available, but turning it into outcomes is hard. AI Anganwadi 360 applies everything we know about that problem to early childhood care. We add intelligence, not another parallel reporting system.
Our role is simple to state and hard to do: take the AI that usually serves the few, and make it work reliably, ethically and practically for the youngest citizens in the most remote villages.
Inside the centre
What an AI-enabled Anganwadi looks like.
A standard package that is rugged, simple and serviceable. It reuses existing devices and infrastructure wherever possible, and needs no major construction.
Smart TV learning console
43-55 inch screen with Hindi and local-language early learning content, cached to work offline.
AI edge camera
Detects centre opening and closure, occupancy, activity and safety events on the device itself.
Rugged edge device
Local storage and AI processing, with automatic sync when the network returns.
Anganwadi Saathi tablet
A voice-first AI copilot in Hindi with daily tasks and reminders. Works offline.
4G router and antenna
Auto-reconnect and low-bandwidth, event-based sync.
Power backup and growth devices
UPS with a 4-6 hour target, solar where needed, and integration with existing weighing, height and MUAC devices.
AI in the Anganwadi01 02 03 04 05 06 07 08
Eight ways our AI works for every child.
AI prioritises, explains and recommends. People make every decision that matters.
Nutrition early warning
Reads weight, height and MUAC trends, flags implausible readings and missed follow-ups, and raises early-attention cases for human review.
AI voice-calling surveys
Voice agents call families in Hindi and local dialects to check services and run surveys. No smartphone or literacy needed.
Anganwadi Saathi
A copilot for workers covering the daily plan, pending home visits, growth reminders and an end-of-day summary. Speak, confirm, sync.
Supervisor copilot
AI visit briefs, priority cases and centres, voice-based field notes, follow-up tracking and escalation.
Centre operations
Verifies opening, closure, occupancy and scheduled activity, and flags unexpected inactivity or after-hours anomalies.
Safety alerts
Detects smoke, gate hazards, standing water and unsafe equipment so they are fixed before a child is harmed.
Command intelligence
A live alert queue with reason codes, action routing with time limits, automatic escalation and data-quality checks across every centre.
Computer vision for operations, not child surveillance. No facial identification and no continuous cloud video streaming.
How it works
Five layers. One operating model.
The centre captures signals. Our AI turns signals into exceptions. The command centre makes sure every exception is acted on and closed.
01
AI-enabled Anganwadi
Smart TV, camera, edge device, voice copilot and growth devices capture signals.
02
Kuvaka AI Intelligence Layer
Vision analytics, risk models, anomaly detection and recommendations, on the edge and in the cloud.
03
System of record
POSHAN Tracker, master data and growth records stay where they are. We connect through approved interfaces.
04
Command Centre
Live map, alert queue, district view, escalation and analytics.
05
Field action
A worker or supervisor acts (support, repair or referral) and records the evidence.
DETECTEXPLAINASSIGNACTVERIFY
Example: an unexpected centre closure triggers an AI event and a supervisor alert. The reason is recorded, a field check happens, closure evidence is logged, and the status turns green. The goal is not more alerts. It is fewer unresolved problems.
Built for the ground
Four engineering rules for real village conditions.
Every technology decision has to survive a village-level field test before it is considered for scale.
Offline-first
Core functions keep running without network, and data syncs automatically when connectivity returns. The centre works even if the network is down all day.
Edge-first
Devices process routine events locally. Only approved alerts and low-bandwidth summaries travel to the cloud.
Human-validated
AI never diagnoses a child. People approve every referral, treatment and consequential action.
Interoperable
POSHAN Tracker remains the system of record. We consume approved data and return action signals. There is no duplicate data entry.
FULL MODE
Reliable 4G / Wi-Fi
Cloud sync and live alerts
CORE MODE
Intermittent network
Local queue and periodic sync
OFFLINE MODE
Weak or no network
Offline capture and supervisor sync
Where we work
Five districts. One standard of delivery.
Two centres in each district. The districts were chosen because they are different, so that one technology package is tested across very different geography, infrastructure and networks.
Khandwa
Nimar region, with a mix of rural and semi-urban centres.
Shahdol
Tribal and remote operating conditions.
Tikamgarh
Bundelkhand, rural, and a real test of low connectivity.
Singrauli
Industrial periphery and remote habitations.
Betul
Forest, tribal and rural operating conditions.
The journeyPHASE 01 PHASE 02 PHASE 03 PHASE 04
Twelve months. Four stage gates.
We commit to scope, deliver on time and own the outcome, on our CSR work as much as on client work. Scale follows evidence, not assumption.
Readiness
Months 0-2
- Technical validation
- Site survey and selection of the 10 centres
- Network and power audit
- Command centre design and security review
Deploy + commission
Months 2-5
- Install centre kits
- Configure AI models and content
- Worker and supervisor onboarding
- User acceptance testing
Operate + optimise
Months 6-11
- Continuous monitoring
- Monthly reviews
- Model and rule tuning
- Midline performance review
Evaluate + share
Month 12
- Independent outcome review
- Standard, repeatable package
- Published learnings
- Plan for scale
What we measure
Measured by what changes for children.
Success is not installing hardware. It is generating the evidence that tells us whether this works, and whether it should grow.
Data quality
Fewer measurement anomalies, missing fields and sync failures.
Response time
Alert, acknowledgement, action and closure, faster every month.
Centre operations
Unexpected closures and inactivity detected and resolved.
Early learning delivery
Activities planned, activities delivered, and child engagement.
Nutrition follow-up
Every early-attention case reviewed by a person and followed up to closure.
Worker experience
Lower reporting burden and tools that workers actually want to use.
Our values, in practice
Why Kuvaka does this.
Accessibility
Access to AI is access to opportunity. An Anganwadi worker in Shahdol deserves tools as good as those in any enterprise.
Inclusion
Voice-first, local-language and built for basic phones and weak networks, so AI creates broader opportunity, not greater division.
Ethics
Privacy by design and humans in the loop. Raw video is kept only where explicitly approved, and there is no facial identification.
Reliability
End to end, with one owner: AI, software, devices, integration, deployment and support. Nothing falls between vendors.
Sustainability
Designed to compound. What we learn becomes a repeatable package that others can use and build on.
Building in public
We publish our progress, our results and what did not work. Trust is earned through consistency, not claimed through marketing.
Making intelligence accessible.
Starting at the roots.
Ten centres are just the beginning. If you work in early childhood, public health or social impact and want to build with us, or learn from what we are building, we would like to hear from you.