Also known as: Teclada
Deterministic inference API for large language models ensuring consistent, reproducible outputs without random variance.
Random variance in large language model outputs hinders reliable A/B testing, reproducible demos, audits, compliance, and consistent quality assurance.
Random variance in large language model outputs hinders reliable A/B testing, reproducible demos, audits, compliance, and consistent quality assurance.
Deterministic inference API using prompt + seed for identical outputs every time, with OpenAI-compatible endpoint and verifiable logs.
Deterministic inference API using prompt + seed for identical outputs every time, with OpenAI-compatible endpoint and verifiable logs.
Appears active as of 2025 based on website content and copyright notice.
Appears active as of 2025 based on website content and copyright notice.
Logital AI, developed by Teclada Inc., delivers deterministic inference for large language models. This technology guarantees identical outputs for identical inputs, eliminating random noise in AI applications. Backed by Y Combinator's Winter 2023 batch, it targets reliability in critical use cases.
Deterministic AI addresses variability in model outputs caused by randomness in inference processes. Traditional large language models produce different results for the same prompt due to stochastic elements. Logital AI fixes a seed with the prompt to ensure reproducibility. Key benefits include clean A/B testing without variance skewing comparisons, audit-ready logs for verifiable AI interactions, reliable demos that perform consistently, and quality assurance through repeatable testing. This approach supports industries requiring precision and compliance.
The platform offers an OpenAI-compatible endpoint at POST /v1/completions. Users provide a prompt and seed to receive identical responses every time. It stores input, seed, and output for audits and reproducibility. Documentation covers integration for evals, benchmarking, continuous integration, compliance, and research. The service emphasizes verifiable AI, enabling noise-free leaderboards and flake-free automated tests. Early access is available via waitlist, with options for video calls to discuss use cases.
Logital AI, developed by Teclada Inc., delivers deterministic inference for large language models. This technology guarantees identical outputs for identical inputs, eliminating random noise in AI applications. Backed by Y Combinator's Winter 2023 batch, it targets reliability in critical use cases.
Deterministic AI addresses variability in model outputs caused by randomness in inference processes. Traditional large language models produce different results for the same prompt due to stochastic elements. Logital AI fixes a seed with the prompt to ensure reproducibility. Key benefits include clean A/B testing without variance skewing comparisons, audit-ready logs for verifiable AI interactions, reliable demos that perform consistently, and quality assurance through repeatable testing. This approach supports industries requiring precision and compliance.
The platform offers an OpenAI-compatible endpoint at POST /v1/completions. Users provide a prompt and seed to receive identical responses every time. It stores input, seed, and output for audits and reproducibility. Documentation covers integration for evals, benchmarking, continuous integration, compliance, and research. The service emphasizes verifiable AI, enabling noise-free leaderboards and flake-free automated tests. Early access is available via waitlist, with options for video calls to discuss use cases.
API service with early access waitlist
API service with early access waitlist
Healthcare, finance, AI insurance, research, technology developers
Healthcare, finance, AI insurance, research, technology developers
Website active with 2025 copyright and launch updates.
Hiring: unknown
Website active with 2025 copyright and launch updates.
Hiring: unknown
Logital AI provides tailored solutions across sectors. In healthcare, it supports patient care and clinical documentation with consistent outputs. Finance benefits from risk assessment and compliance tools. AI insurance underwriting separates model risks from system risks for precise coverage and incident attribution. Research enables reproducible experiments and analysis. Technology teams use it for product development and testing. These applications highlight its role in regulated environments needing audit trails and reliability.
Logital AI provides tailored solutions across sectors. In healthcare, it supports patient care and clinical documentation with consistent outputs. Finance benefits from risk assessment and compliance tools. AI insurance underwriting separates model risks from system risks for precise coverage and incident attribution. Research enables reproducible experiments and analysis. Technology teams use it for product development and testing. These applications highlight its role in regulated environments needing audit trails and reliability.
For evals and benchmarking, it runs consistent model evaluations. Continuous integration avoids flaking tests due to output changes. Compliance maintains records for regulated industries. Research allows sharing prompts and seeds for exact reproduction. AI insurance underwriting provides clear audit trails. Academia guarantees reproducible experiments for peer review. Demos become reliable, eliminating 'it worked yesterday' issues. Based on available information, these use cases demonstrate broad applicability in AI workflows.
For evals and benchmarking, it runs consistent model evaluations. Continuous integration avoids flaking tests due to output changes. Compliance maintains records for regulated industries. Research allows sharing prompts and seeds for exact reproduction. AI insurance underwriting provides clear audit trails. Academia guarantees reproducible experiments for peer review. Demos become reliable, eliminating 'it worked yesterday' issues. Based on available information, these use cases demonstrate broad applicability in AI workflows.
Founded by David Fiala, Logital AI's Chief Scientist. Fiala brings expertise from supercomputing resilience during his PhD, Google Health security for billions of users and millions of medical records, and Google-wide security initiatives. His background in high-performance computing, security, and privacy informs the deterministic infrastructure. The company has a small team of two, operating from Sunnyvale, California.
Founded by David Fiala, Logital AI's Chief Scientist. Fiala brings expertise from supercomputing resilience during his PhD, Google Health security for billions of users and millions of medical records, and Google-wide security initiatives. His background in high-performance computing, security, and privacy informs the deterministic infrastructure. The company has a small team of two, operating from Sunnyvale, California.
Users can explore documentation, schedule video calls, or contact [email protected]. The platform is launching soon, with waitlist signups for early access and updates. Logital AI positions itself as essential for building reliable AI applications where consistency is paramount.
Users can explore documentation, schedule video calls, or contact [email protected]. The platform is launching soon, with waitlist signups for early access and updates. Logital AI positions itself as essential for building reliable AI applications where consistency is paramount.
