Pydantic
Pydantic develops an open-source Python library and related tools for data validation, settings management, and typed models, used by software engineers to build reliable applications and APIs. The company monetizes through commercial offerings and services around its core open-source technology, including advanced features, support, and enterprise-focused capabilities.
- Database & Data Storage
- MLOps & ML Platforms
- Revenue
- $3.0M
- Employees
- 25
- Founded
- 2023
- Headquarters
- Londonderry County Borough, United Kingdom
What 7 Arbolus experts think of Pydantic
NPS scores in the provided data are strong, with ratings of 7, 8, and 10. Both influencers and experienced users report high renewal intent and satisfaction, reflecting a robust long-term fit for production use and maintainability. Stickiness is significant, as most users report adoption for over one year, with only one in pilot stage. Key expert feedback highlights the importance of explicit validation, integration into modern Python/AI stacks, and ongoing schema maintainability as primary drivers of satisfaction. Main concerns are manageability of schema/versioning over time, particularly in evolving workflows.Overall Customer Sentiment: Positive
Who reviewed Pydantic
- C-Suite 43% (3)
- Manager 57% (4)
Employer names and spend open in the full report, along with the other 4 customers.
Everything 7 customers told us about Pydantic.
Employer names, spend, renewal intent and every written answer behind the numbers on this page.
Sentiment
28 Net Promoter Score, from 7 scored reviews- Promoters 2
- Passives 5
- Detractors 0
Cumulative NPS by month
-2 over 4 months- Nov 10
- Feb 9
- Sep 8
- Oct 8
Net Promoter Score across 1 reviews, accumulated up to each month. Category median 28 across 1 companies.
Praised
- Community Engagement
- Operational Reliability in Production
- Robust Data Validation and Structure
- Automated Model and Validation Support
Criticised
- Ongoing Schema Maintenance Burden
- Migration and Versioning Risks
- Unnecessary Complexity for Simple Cases
- Workflow Value Trade-off
What customers say
Renewal intent
Plan to renew 100%Plan to renew, by seniority
- 100% 3 answers
- 9.3/10 Average score from customers who will renew
Report
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