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FoundersFounders
3907

Diogo Almeida

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Diogo Almeida
CEO & Co-Founder of
TypeSafe AI (2024)
About

Diogo Almeida is the Co-Founder and CEO of TypeSafe AI, a frontier AI lab building machine-native, composable AI designed to run reliably inside software systems without constant human supervision.

Before founding

With a decade of deep AI research experience, Diogo previously worked at OpenAI and Google Brain, where he co-invented RLHF and InstructGPT, the foundational methods that led to ChatGPT and GPT-4.

Founder Insights

Diogo argues that RLHF, while transformative for human-facing AI, constrains what AI can accomplish independently, and that most intelligence should eventually run quietly inside software rather than interact with people.

Experience

At TypeSafe AI, he leads development of a new model architecture called Reinforcement Learning for Calibrated Decisions (RLCD), powering their debut model Jev, which delivers frontier-level intelligence at under 100 milliseconds of latency.

Scale & Impact

TypeSafe AI emerged from stealth in September 2026 with $40 million in seed funding led by DCVC, offering a model up to 100 times faster and less expensive than other frontier models for developers building autonomous software systems.

3907

Diogo Almeida

TypeSafe AI
Co-Founder & CEO
Logo
Diogo Almeida

Company(s)

TypeSafe AI

Industry

SaaS

Year Founded

2024

Stage/Funding

Seed • $40M

Company Location

us

Connect

About

Diogo Almeida is the Co-Founder and CEO of TypeSafe AI, a frontier AI lab building machine-native, composable AI designed to run reliably inside software systems without constant human supervision.

Before founding

With a decade of deep AI research experience, Diogo previously worked at OpenAI and Google Brain, where he co-invented RLHF and InstructGPT, the foundational methods that led to ChatGPT and GPT-4.

Founder Insights

Diogo argues that RLHF, while transformative for human-facing AI, constrains what AI can accomplish independently, and that most intelligence should eventually run quietly inside software rather than interact with people.

Experience

At TypeSafe AI, he leads development of a new model architecture called Reinforcement Learning for Calibrated Decisions (RLCD), powering their debut model Jev, which delivers frontier-level intelligence at under 100 milliseconds of latency.

Scale & Impact

TypeSafe AI emerged from stealth in September 2026 with $40 million in seed funding led by DCVC, offering a model up to 100 times faster and less expensive than other frontier models for developers building autonomous software systems.

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