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typedef @typedef.ai · 22/10/2025

fenic's Multiple Model Configuration & Selection lets you pick the right model for each step, cheap where you can, powerful where you must. Think of it as a per-operator model dial across your pipeline.

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typedef @typedef.ai · 21/10/2025

Fenic ❤️ Hugging Face Datasets! You can now turn any fenic snapshot into a shareable, versioned dataset on @hf.co perfect for reproducible agent contexts and data sandboxes. Docs: huggingface.co/docs/hub/dat...

huggingface.co

fenic

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

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typedef @typedef.ai · 24/09/2025

fenic's Local Data Caching & Persistence keeps expensive AI steps from rerunning and your pipelines resilient.

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typedef @typedef.ai · 23/09/2025

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typedef @typedef.ai · 21/09/2025

Why do most AI projects stall? Because going from prototype → production is HARD. On Data Exchange, we share how Typedef makes inference-first pipelines actually work at scale. 👉 thedataexchange.media/typedef-fenic/

thedataexchange.media

The Fenic Approach to Production-Ready Data Processing

Kostas Pardalis on Inference-First Data Frames, Markdown as Structure, Semantic Query Operations, and Production AI Debugging.

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typedef @typedef.ai · 20/09/2025

We’re honored to be featured in AI World Today! 🚀 Our co-founder Yoni Michael shares how Typedef is closing the gap between AI prototypes and production, making inference a first-class data operation. 👉 Read the full interview: www.aiworldtoday.net/p/interview-...

aiworldtoday.net

Bridging the AI Gap: How Yoni Iny's Typedef is Revolutionizing Data Processing

Yoni Michael, tech veteran and Typedef co-founder, transforms AI-powered data analytics with an innovative serverless platform for LLM workflows.

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typedef @typedef.ai · 20/09/2025

We’re building the AI-native, inference-first infrastructure that powers scalable, production-ready LLM pipelines—no infrastructure headaches, just reliable results. Read more in AIM about how we’re overcoming pilot paralysis: aimmediahouse.com/ai-startups/...

aimmediahouse.com

For AI to Scale, Infrastructure Has to Change-Typedef Gets It

Typedef, a new AI infrastructure startup that officially launched on June 18, 2025, raised $5.5 million in seed funding, led by Pear VC.

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typedef @typedef.ai · 20/09/2025

Fenic brings the reliability of DataFrame pipelines to AI workloads—semantic joins, markdown parsing, transcripts, and more—now strengthened with the 0.3.0 update. Dive into the latest improvements. → www.techzine.eu/blogs/data-m...

techzine.eu

Typedef project Fenic: A ‘dataframe’ for LLMs

Typedef provides purpose-built AI data infrastructure services for cloud workloads that need to handle LLM-powered pipelines, unstructured data Typedef is Helping AI and Data Teams Build Faster,…

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typedef @typedef.ai · 20/09/2025

AI fatigue is everywhere. But it’s not inevitable. In AI Journal, Typedef co-founder Yoni Michael shares how teams can escape “pilot paralysis” and move AI from prototype to production with confidence. 👉 Read the article: aijourn.com/ai-fatigue-i...

aijourn.com

AI Fatigue Is Real, But It's Fixable | The AI Journal

Enterprises have embraced generative AI with high expectations – new business insights, automated agents, real-time decision-making. What many got instead are

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typedef @typedef.ai · 20/09/2025

fenic's Structured Output Extraction turns LLM text into validated tables, directly in your DataFrame. Think of it as schema-first parsing: you define a Pydantic model; Fenic enforces it and returns structured columns.

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typedef @typedef.ai · 18/09/2025

fenic's First-Class AI Data Types make embeddings, markdown, and JSON real, typed columns, with the right operations built in. Think of it as strong types for meaning and structure: safer pipelines, richer queries.

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typedef @typedef.ai · 16/09/2025

fenic's Semantic Classification turns free-text into clean enums right inside your DataFrame.

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typedef @typedef.ai · 12/09/2025

fenic's Semantic Similarity Join (Vector Join) finds nearest neighbors across tables using embeddings, right inside your DataFrame.

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typedef @typedef.ai · 09/09/2025

fenic 0.4.0 is live: declarative tools for agents, a production-ready MCP server, and direct reads from HuggingFace plus big DX & reliability gains. Highlights: Declarative tools: define function-calling tools as data (type-safe, reviewable, reusable).

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typedef @typedef.ai · 08/09/2025

fenic ensures LLM outputs conform to schemas using Pydantic models.

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typedef @typedef.ai · 06/09/2025

fenic offers standard DataFrame operations with a familiar Spark/Pandas-like API.

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typedef @typedef.ai · 05/09/2025

fenic UDFs allow you to inject arbitrary Python (including external libraries) directly into the fenic execution plan while preserving lazy planning, metrics and reproducibility.

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typedef @typedef.ai · 03/09/2025

fenic offers Flexible Session Configuration. Define AI providers/models (OpenAI GPT‑4, Claude, etc.) and RPM/TPM rate limits at session start so the framework centrally manages throttling, costs and consistency across all AI calls.

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typedef @typedef.ai · 29/08/2025

Semantic Reduce = apply LLM aggregation at group-by scale. Many rows in → one summary per group. You write a prompt and fenic handles packing, ordering, and multi-pass reduction.

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typedef @typedef.ai · 27/08/2025

Kostas joins Ben on The Data Exchange Podcast, to unpack fenic’s approach to production-ready data processing.

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typedef @typedef.ai · 26/08/2025

Semantic Map is how you apply inference at scale with fenic. Whether it’s 1 call or 1M, it’s ~5 lines. You iterate on data and prompts; Fenic handles the rest. Write a Jinja template with column placeholders; Fenic renders it per row and calls the model.

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typedef @typedef.ai · 21/08/2025

AI-native data types in Fenic. in this demo: the Markdown type.

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typedef @typedef.ai · 20/08/2025

Fenic adds AI-native scalar functions to DataFrames. They run LLM inference over columns/rows, so reasoning lives inside your pipeline.

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typedef @typedef.ai · 20/08/2025

Semantic join is one of Fenic’s AI-native DataFrame functions. They operate over whole tables and relationships—not just individual rows.

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Reposted by typedef

Recce - Trust, Verify, Ship @datarecce.bsky.social · 25/04/2025

Thanks to all how joined us for the Data Renegades happy hour during the #DataCouncil “No BS Data Conf” this week Did you try a "Look Before Merging" cocktail? We were joined by the best co-hosts ❤️ @tobikodata.com @bauplan.bsky.social @datacoves.com @typedef.ai See you all next year! #NoBSConf

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typedef @typedef.ai · 08/04/2025

Sometimes you just gotta process some unstructured data…

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typedef @typedef.ai · 28/01/2025

What an amazing night hosting some of the Peninsula’s brightest minds in data. Delicious tacos, amazing tech talks, and the 2025 view of data by Tomasz from TheoryVC!

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typedef @typedef.ai · 18/01/2025

The hardest thing about data infrastructure is that it exists. Infrastructure-less is such a 2025 vibe.

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