AI for data modeling

Production ready database schemas in minutes

Design ER Diagrams in 80+ Languages — English

Fastest way to build data models. Period.

Data modeling, done for you

From idea to data models in hours minutes

Turn Requirements into Schema

Just describe yourbusiness logicfeature requestKPIsBI metricsuser storiesbusiness logic, TalkingSchema builds your model.

Design new features without breaking production

Instantly update your models with verification for integrity, performance, and compliance.

Create Star & Snowflake schemas in minutes

Transform your transactional data-sources into production-ready analytical models without the manual mapping.

Stop explaining your models

Let your experts focus on strategy and innovation.

TalkingSchema can resolve 95% of your data questions

Which tables will break if I drop or modify this column?

- Data Engineer

And much more

Capabilities

Review changes

See a precise summary of detected changes directly on your canvas. Review the highlighted modifications, then choose between Undo all to discard the draft, or Keep all to save every change.

The missing piece

Your schema knows the shape.
Not what it means.

The real cost isn't a broken query. It's a dashboard built on a column nobody agreed on.

Without context

recognized_atTIMESTAMPunknown
amountNUMERIC(12,4)unknown
customer_idUUIDunknown

With TalkingSchema

recognized_atTIMESTAMP✓ ARR only — never billing ops
amountNUMERIC(12,4)✓ Pre-tax. Include refunds.
customer_idUUID✓ B2B accounts, not end-users

How context gets captured

1

A question blocks the work

"Should this use recognized_at or paid_at for ARR?"

2

The right person is looped in

No Slack archaeology. The domain owner is brought in directly.

3

The answer sticks to the schema

Permanently linked. Never buried in thread history again.

How context collection worksHow the Git bot captures context from PRs

You control your data

When you delete a thread, here is how we ensure permanent deletion

Hosting Services

Database & Application Server

Immediate

Your data gets purged immediately from our application servers and databases

Agentic Orchestration

Agentic State Store

Secure Erasure Cycle

Your data gets permanently scrubbed during our automated weekly security sweep (Monday 23:59 UTC)

LLM Providers

Inference Requests

Zero Data Retention

Inputs & outputs discarded right after each inference request—nothing to delete

Per-thread deletion: Only the deleted thread is erased—your other threads remain untouched until you choose to delete them. Read our Privacy Policy on data storage

Trusted by Teams Worldwide

Used by data engineers, analysts, and founders across 20+ teams

AR
Aman Rathi
Rokt
role:Data Analyst
"I love the flexibility, editing the diagram directly when I want for small changes, and using co-pilot for bulk updates or quick prototypes, the best of both worlds : ) Would love to have more editing capabilities (adding tables, relationship, etc.)"
PK: testimonial_1
SP
Sai Praneeth
Transcarent
role:Data Engineer
"Thanks so much! I really appreciate the design-update. It's clear a lot of care went into making TalkingSchema, clear visual and easier to use. Excited to see how it continues to evolve!"
PK: testimonial_2
PN
Pranitha Nekkanti
Driver AI, LLC
role:Software Engineer - Data
"Thanks for reaching out. I've spent some time testing TalkingSchema.ai in detail, and here's what I love:
  • The schema generation flow works impressively well even with complex project and workforce data. It understands context and builds well-connected relational models.
  • The export functionality is excellent, offering multiple database-compatible options.
  • The overall interface is clean and easy to navigate.
Thanks again for the opportunity to share this. Happy to elaborate further if needed."
PK: testimonial_3
SM
Subhash Medipalli
U.S. Bank
role:Data Engineer
"Congratulations on the launch! 🚀 I just checked out Talking Schema and it looks really impressive—clean design and the concept is very relevant. I'll spend some more time exploring the features and will be happy to share detailed feedback. Wishing you and the team great success on this journey!"
PK: testimonial_4
AM
Abhijit Menon
Amazon
role:Data Engineer
"Right now, the agent focuses specifically on users' inputs, and no matter my prompt of scale it limits its model down to 5-6 tables. It's good, but it'd be awesome to have further flexibility during the design phase. Maybe we should have a mode which allows full flexibility to come up with tables at scale and create a full-fledged data model with just a basic prompt and then the user can play around to bring volume down if needed."
PK: testimonial_5
NK
Nagarjan
"I checked out the new Progress Checklist feature, it looks great! The flow feels clean, and the schema visualization is very intuitive. It's definitely a strong improvement that makes the process more transparent and interactive. Really appreciate the progress your team is making with TalkingSchema.ai, it's shaping up beautifully!"
PK: testimonial_6
TC
Tharun Chaitanya
"Impressed by the speed, prototype build was unusually fast, it was tough to keep up :D. Overall a great product for rapid ideation and handling a bunch of changes in one go. I tried it with the Wispr Flow, it's amazing for long feature prompts. However, having an embedded audio feature would take it to the next level."
PK: testimonial_7
EZ
Ella Zhao
iOffer
role:Fullstack Engineer
"The idea and product is great. It'd be awesome if it integrated with existing systems (Supabase, Mongo, etc.)"
PK: testimonial_8
KV
Kasper Van
Sogeti
role:Information Security Advisor
"I've tried Talking Schema, and it seems to work flawlessly, but I am not at all technical and only discovered the term ERD two days ago 😅. Though, as a beginner, it felt easy to understand and work with diagrams."
PK: testimonial_9
AR
Aman Rathi
Rokt
role:Data Analyst
"I love the flexibility, editing the diagram directly when I want for small changes, and using co-pilot for bulk updates or quick prototypes, the best of both worlds : ) Would love to have more editing capabilities (adding tables, relationship, etc.)"
PK: testimonial_1
SP
Sai Praneeth
Transcarent
role:Data Engineer
"Thanks so much! I really appreciate the design-update. It's clear a lot of care went into making TalkingSchema, clear visual and easier to use. Excited to see how it continues to evolve!"
PK: testimonial_2
PN
Pranitha Nekkanti
Driver AI, LLC
role:Software Engineer - Data
"Thanks for reaching out. I've spent some time testing TalkingSchema.ai in detail, and here's what I love:
  • The schema generation flow works impressively well even with complex project and workforce data. It understands context and builds well-connected relational models.
  • The export functionality is excellent, offering multiple database-compatible options.
  • The overall interface is clean and easy to navigate.
Thanks again for the opportunity to share this. Happy to elaborate further if needed."
PK: testimonial_3
SM
Subhash Medipalli
U.S. Bank
role:Data Engineer
"Congratulations on the launch! 🚀 I just checked out Talking Schema and it looks really impressive—clean design and the concept is very relevant. I'll spend some more time exploring the features and will be happy to share detailed feedback. Wishing you and the team great success on this journey!"
PK: testimonial_4
AM
Abhijit Menon
Amazon
role:Data Engineer
"Right now, the agent focuses specifically on users' inputs, and no matter my prompt of scale it limits its model down to 5-6 tables. It's good, but it'd be awesome to have further flexibility during the design phase. Maybe we should have a mode which allows full flexibility to come up with tables at scale and create a full-fledged data model with just a basic prompt and then the user can play around to bring volume down if needed."
PK: testimonial_5
NK
Nagarjan
"I checked out the new Progress Checklist feature, it looks great! The flow feels clean, and the schema visualization is very intuitive. It's definitely a strong improvement that makes the process more transparent and interactive. Really appreciate the progress your team is making with TalkingSchema.ai, it's shaping up beautifully!"
PK: testimonial_6
TC
Tharun Chaitanya
"Impressed by the speed, prototype build was unusually fast, it was tough to keep up :D. Overall a great product for rapid ideation and handling a bunch of changes in one go. I tried it with the Wispr Flow, it's amazing for long feature prompts. However, having an embedded audio feature would take it to the next level."
PK: testimonial_7
EZ
Ella Zhao
iOffer
role:Fullstack Engineer
"The idea and product is great. It'd be awesome if it integrated with existing systems (Supabase, Mongo, etc.)"
PK: testimonial_8
KV
Kasper Van
Sogeti
role:Information Security Advisor
"I've tried Talking Schema, and it seems to work flawlessly, but I am not at all technical and only discovered the term ERD two days ago 😅. Though, as a beginner, it felt easy to understand and work with diagrams."
PK: testimonial_9

Frequently Asked Questions

Everything you need to know about TalkingSchema

Ready to transform your
data strategy?

We're always looking for innovative partners. Whether you're a startup, enterprise, or developer community, let's explore how we can work together.

Partnership Opportunities

Enterprise integrations, API partnerships, developer tools, and more

Email us at support@talkingschema.com