DataChainiterative.ai
|
||||||
Related Products
|
||||||
About
Adaption provides tools for building AI models that adapt as data and requirements change. Its web platform combines data preparation, synthetic-data generation, dataset exploration, and model training. Adaptive Data imports files and data from Hugging Face or Kaggle, with column mapping, deduplication, prompt transformation, augmentation, translation, and evaluation. Invent a Dataset creates instruction or preference data from a written objective. Visualize supports questions, interactive charts, and row-level inspection of text and tabular data. AutoScientist optimizes training data and model recipes against a goal, runs experiments, evaluates results, and exports adapted models. Workflows include fine-tuning, alignment, multilingual dataset expansion, and data-coverage analysis. Adaption also offers API access and a Python SDK for integrating these tools into AI-development workflows.
|
About
DataChain connects unstructured data in cloud storage with AI models and APIs, enabling instant data insights by leveraging foundational models and API calls to quickly understand your unstructured files in storage. Its Pythonic stack accelerates development tenfold by switching to Python-based data wrangling without SQL data islands. DataChain ensures dataset versioning, guaranteeing traceability and full reproducibility for every dataset to streamline team collaboration and ensure data integrity. It allows you to analyze your data where it lives, keeping raw data in storage (S3, GCP, Azure, or local) while storing metadata in inefficient data warehouses. DataChain offers tools and integrations that are cloud-agnostic for both storage and computing. With DataChain, you can query your unstructured multi-modal data, apply intelligent AI filters to curate data for training and snapshot your unstructured data, the code for data selection, and any stored or computed metadata.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Organizations that want to build and own internal AI models without heavy resourcing and long timelines.
|
Audience
Data scientists and engineers seeking a solution to manage, process, and version unstructured data at scale
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Supported
|
|||||
Screenshots and VideosNo images available
|
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Company InformationAdaption
Founded: 2026
United States
adaptionlabs.ai
|
Company Informationiterative.ai
Founded: 2018
United States
datachain.ai/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Hugging Face
Supported
Claude
Not Supported
Claude for Legal
Not Supported
Codestral
Not Supported
Gemini
Not Supported
Gemini 1.5 Flash
Not Supported
Gemini 1.5 Pro
Not Supported
Gemini Enterprise
Not Supported
Llama
Not Supported
Llama 3
Not Supported
|
Integrations
Hugging Face
Supported
Claude
Supported
Claude for Legal
Supported
Codestral
Supported
Gemini
Supported
Gemini 1.5 Flash
Supported
Gemini 1.5 Pro
Supported
Gemini Enterprise
Supported
Llama
Supported
Llama 3
Supported
|
|||||
|
|
|