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features
design
support

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Write a Review

Description

Launch your first AI automation in just a minute. Inferable is designed to integrate smoothly with your current codebase and infrastructure, enabling the development of robust AI automation while maintaining both control and security. It works seamlessly with your existing code and connects with your current services through an opt-in process. With the ability to enforce determinism via source code, you can programmatically create and manage your automation solutions. You maintain ownership of the hardware within your own infrastructure. Inferable offers a delightful developer experience right from the start, making it easy to embark on your journey into AI automation. While we provide top-notch vertically integrated LLM orchestration, your expertise in your product and domain is invaluable. Central to Inferable is a distributed message queue that guarantees the scalability and reliability of your AI automations. This system ensures correct execution of your automations and handles any failures with ease. Furthermore, you can enhance your existing functions, REST APIs, and GraphQL endpoints by adding decorators that require human approval, thereby increasing the robustness of your automation processes. This integration not only elevates the functionality of your applications but also fosters a collaborative environment for refining your AI solutions.

Description

Deploy machine learning applications in just minutes instead of taking months. Streamline the conversion of raw data, create training datasets, and deliver features for scalable online inference effortlessly. By replacing custom data pipelines with reliable automated pipelines, you can save significant time and effort. Boost your team's productivity by enabling the sharing of features across the organization while standardizing all your machine learning data workflows within a single platform. With the ability to serve features at massive scale, you can trust that your systems will remain operational consistently. Tecton adheres to rigorous security and compliance standards. Importantly, Tecton is not a database or a processing engine; instead, it integrates seamlessly with your current storage and processing systems, enhancing their orchestration capabilities. This integration allows for greater flexibility and efficiency in managing your machine learning processes.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

.NET Yes 
Amazon DynamoDB No 
Amazon EMR No 
Amazon ElastiCache No 
Amazon S3 No 
Apache Kafka No 
Axis LMS Yes 
Databricks No 
Delta Lake No 
Go Yes 
GraphQL Yes 
Node.js Yes 
PySpark No 
Python No 
Redis No 
SQL No 
Seldon No 
Snowflake No 
TensorFlow No 
Unity Catalog No 

Integrations

.NET No 
Amazon DynamoDB Yes 
Amazon EMR Yes 
Amazon ElastiCache Yes 
Amazon S3 Yes 
Apache Kafka Yes 
Axis LMS No 
Databricks Yes 
Delta Lake Yes 
Go No 
GraphQL No 
Node.js No 
PySpark Yes 
Python Yes 
Redis Yes 
SQL Yes 
Seldon Yes 
Snowflake Yes 
TensorFlow Yes 
Unity Catalog Yes 

Pricing Details

$0.006 per KB
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Inferable

Country

United States

Website

www.inferable.ai/

Vendor Details

Company Name

Tecton

Founded

2019

Country

United States

Website

www.tecton.ai/

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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