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What is VATES?

VATES gives a company its own AI assistant, answering from material the company writes and controls. The knowledge base is plain text, not a numeric index, so any staff member can open it, read what is in it, and change a line without a rebuild. Every answer can be traced back to the entry it came from, which matters when someone asks why the assistant said what it said. It runs entirely from a browser, including on a phone: setup, knowledge editing, access controls, audit history and billing. Passkey sign-in, two-factor authentication, IP allowlisting and a tamper-evident audit log are standard rather than upgrades. Costs are prepaid and usage-based. No seats, no monthly plan, no cancellation fee — a USD 5.00 deposit is the minimum per top-up, and the service simply pauses when the balance runs out.

What is PostgresML?

PostgresML is an all-encompassing platform embedded within a PostgreSQL extension, enabling users to create models that are not only more efficient and rapid but also scalable within their database setting. Users have the opportunity to explore the SDK and experiment with open-source models that are hosted within the database. This platform streamlines the entire workflow, from generating embeddings to indexing and querying, making it easier to build effective knowledge-based chatbots. Leveraging a variety of natural language processing and machine learning methods, such as vector search and custom embeddings, users can significantly improve their search functionalities. Moreover, it equips businesses to analyze their historical data via time series forecasting, revealing essential insights that can drive strategy. Users can effectively develop statistical and predictive models while taking advantage of SQL and various regression techniques. The integration of machine learning within the database environment facilitates faster result retrieval alongside enhanced fraud detection capabilities. By simplifying the challenges associated with data management throughout the machine learning and AI lifecycle, PostgresML allows users to run machine learning and large language models directly on a PostgreSQL database, establishing itself as a powerful asset for data-informed decision-making. This innovative methodology ultimately optimizes processes and encourages a more effective deployment of data resources. In this way, PostgresML not only enhances efficiency but also empowers organizations to fully capitalize on their data assets.

Media

Media

Integrations Supported

ChatGPT
Mistral AI
Claude Duet
Claude for Legal

Integrations Supported

ChatGPT
Mistral AI
Amazon EC2
BERT
C++
Codestral Mamba
Go
Java
Llama
Llama 3.1
Microsoft Power BI
Mistral 7B
Mixtral 8x22B
Node.js
Perl
R
Ruby
Visual Studio Code

API Availability

Has API

API Availability

Has API

Pricing Information

$5 deposit, pay-as-you-go
Usage-based prepaid deposit. No subscription, no monthly minimum,
no cancellation fee. $5.00 minimum per top-up. Billed per request
from the balance. Current rates are listed on the pricing page.

Pricing Information

$.60 per hour
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

STANDOUT Inc.

Date Founded

2024

Company Location

Japan

Company Website

vates.standout.jp/

Company Facts

Organization Name

PostgresML

Company Website

postgresml.org

Categories and Features

Agentic AI

Not specified

Categories and Features

AI Development

Not specified

AI Tools

Not specified

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