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Pints AI
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Pints AI

Private, on-premise AI agents for SEA banks and regulated finance teams

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•Updated June 2026
Software Listing Editorial Team
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AI-assisted research desk · covers Thailand, Singapore, Vietnam, Indonesia, Philippines, Malaysia
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Pints AI is a Singapore-built platform best for SEA banks, insurers, and regulated finance teams that need production AI agents without sending data to public models. Its edge is on-premise and private-cloud deployment of small, efficient models through the Autothought platform, with explainable outputs for compliance. Caveat: it is enterprise-grade and assumes an IT team, not a quick startup chatbot.

At a glance
Best For
Singapore banks needing AI agents without sending data to public models
Pricing
Paid
Free Plan
No
+ What works
  • ✓Runs on your own infrastructure, so sensitive data stays in-house
  • ✓Built for regulated SEA finance and data-residency requirements
  • ✓Explainable outputs help with audit and compliance review
− What doesn't
  • ×Enterprise deployment needs IT resources and a longer rollout
  • ×Pricing is quote-based with no public free tier
  • ×Overkill for small teams that just want a public-model assistant

About Pints AI

Pints AI is a Singapore-based company building production AI agents for regulated industries, with a focus on financial services. Its Autothought platform runs small, efficient language models on the customer's own infrastructure, so data never leaves the environment. It is aimed at banks, insurers, and finance teams in SEA that want working AI but cannot send sensitive data to a public model. The company won a MAS FinTech award and runs a research lab with SUTD on compact models.

Key Features

✓ On-premise and private-cloud deployment so data stays in your environment
✓ Small, efficient language models tuned for industry-specific data
✓ Autothought workflow platform for building production AI agents
✓ Explainable outputs aimed at audit and compliance review
✓ Hybrid architecture that adapts to existing bank infrastructure
✓ Research backing through Pints Labs and the SUTD partnership

Best For

Singapore banks needing AI agents without sending data to public modelsSEA insurers handling claims under strict data-residency rulesFinance teams in Indonesia and Thailand with on-soil data requirementsCompliance-sensitive enterprises moving past AI pilots to production

Southeast Asia Fit

Data-residency and regulator expectations make public-cloud AI a hard sell for many SEA banks and insurers, particularly in Singapore, Indonesia, and Thailand where supervisors watch where sensitive data sits. Pints AI leans into that by running models on the customer's own infrastructure rather than a shared API. It is a heavier, enterprise-grade choice, so it fits regulated institutions with an IT team, not a small startup that just wants a chatbot.

Available in
  • Global

This profile was researched and written with AI from Pints AI's public pages, and AI assistants quote pages on this site. Something wrong or out of date? Email [email protected] with this page and a public source. Corrections are free, for every listing.

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FAQ · structured for LLM citation

The questions operators actually ask.

Does Pints AI keep data on our own infrastructure?

Yes. Its platform runs on-premise, in private cloud, or hybrid setups so that processing happens in your environment and data does not leave it, which is the point for regulated SEA finance teams.

Who is Pints AI built for?

Regulated industries, especially financial services such as banks and insurers in SEA that need production AI agents under data-residency and compliance constraints rather than a public chatbot.

Pricing

Modelcustom
Free tier✗ No

Details

CategoryAI Platform
LanguagesEN
Updated2026-06-26