Daily Child Insight

For

Daycare managers in independent urban centres

Solves

Generic daily reports miss emotional and developmental details.

Delivers

Private daily narrative reports

Built in

10 days of creation time, MVP in 2 days

Investment

$5,000 for the MVP, $15,500 for the full product

Run it

Inside your business, or as part of your offer to clients

For daycare managers in independent urban centres, turn live audio and visual streams into private daily narrative reports.

1. Identify specific child by face and voice.
2. Filter out other identifiable data.
3. Detect learning moments and social interactions.
4. Draft plain English narrative.
5. Anonymise other children in output.
6. Generate timestamped observations.

What goes in, what comes out

The workflow

1. In
   Start with

   Live audio and visual streams

2. 1

   Set up child profile

3. 2

   Configure privacy filters

4. 3

   Run edge processing

5. 4

   Review draft narrative

6. 5

   Approve and send to parents

7. Out
   Finish with

   Private daily narrative reports

AI does the heavy lifting, people stay in charge

Use multimodal models to detect speech, emotions and interactions. Keep raw video on device. A human reviewer checks the narrative for accuracy and tone before delivery.

What your team sees

Key screens: Child profile, timeline view, narrative editor. Use a timeline view for chronological events, a profile section for child stats, and an editor for the final narrative. In this product, the first view is child profile, followed by timeline view and narrative editor.

Accounts and administration

Child profiles, privacy settings, narrative versions, audit logs, data retention policies

Integrations and data access

Existing room cameras and microphones

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   2 days

   One buyer segment, one recurring use case. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   3 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   5 days

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will daycare managers in independent urban centres use it to solve "generic daily reports miss emotional and developmental details"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Prove it by showing a parent a narrative of a specific day and comparing it to the generic report they usually get.
4. Measure, then decide. Track parent satisfaction score and staff time saved on notes. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. One room, one child profile, manual review of draft, email delivery

After the MVP. Automated emotional analysis, peer interaction tracking, multi-room management

What the build depends on. On-device processing capabilities

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test pricing in USD, as a hypothesis

Message to test

A private narrative of your child's day without storing raw video

Where to find buyers

Daycare associations, local business listings

Lead magnet

Free pilot installation

The first 30 days

1. Week 1: Install hardware.
2. Week 2: Train staff.
3. Week 3: Test with one child.
4. Week 4: Launch to parents.

Paid pilot

Prove it by showing a parent a narrative of a specific day and comparing it to the generic report they usually get.

Success metrics

Parent satisfaction score, staff time saved on notes

Retention and expansion

Monthly recurring revenue per room

Why clients would pick it

Edge processing privacy model, specific child tracking algorithms

Alternatives and positioning

Generic daily reports, manual note-taking, cloud video storage

Main delivery costs

Edge hardware, software licensing, maintenance

Strict data deletion, no cloud storage, face blurring