Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

MS0 Reverse transforms outdated code from a burden into a valuable asset by utilizing AI-driven analysis and intelligence that uncovers business logic, safeguards institutional knowledge, and clarifies intricate systems prior to teams making informed decisions regarding maintenance, refactoring, or modernization. Prioritizing intelligence, the methodology emphasizes a thorough understanding of the system before determining the next steps with certainty. It offers a structured knowledge infrastructure through a comprehensive knowledge graph that illustrates the entire operational framework, encompassing data flows, business logic, dependencies, and inter-program relationships. Various stakeholders, including developers, analysts, architects, executives, compliance teams, product owners, and portfolio managers, can engage with the same systems using natural language, obtaining insights derived from a unified governed knowledge layer. Furthermore, MS0 Reverse supports an open infrastructure through APIs and MCP connectors, facilitating the creation of customized tools, partner extensions, and additional functionalities. This versatility not only enhances collaboration among teams but also empowers organizations to leverage their existing systems more effectively.

Description

Your organization's knowledge is scattered across various formats such as PDFs, spreadsheets, wikis, and ERP exports. Traditional retrieval augmented generation (RAG) techniques can only extract the top-K similar snippets, which is adequate for brief summaries but inadequate when precise and comprehensive answers are required. Vedana adopts a structure-first methodology, allowing you to define your domain through anchors, attributes, and connections. It systematically ingests your data into a categorized knowledge graph, enabling AI agents to investigate it incrementally: performing graph queries, vector searches, and compiling answers from actual data. In this setup, the language model interprets the information while the data remains the authoritative source. The advantages you gain include: - Precise figures: obtaining specific prices, dates, and statuses directly from the graph - Comprehensive outcomes: guaranteeing that all relevant records are included without omissions - Multi-step reasoning: connecting product information to categories, regulations, and documents seamlessly - Traceability: ensuring that every answer is linked back to specific nodes, edges, and data segments - Consistency: delivering the same results with identical queries and processes Additionally, the system comes with built-in evaluation using gold-standard datasets and is compatible with any language model. It can be deployed as open-core, managed cloud, or on-premises solutions, with pilot implementations available in just four weeks. This approach not only enhances accuracy but also fosters a deep understanding of the interconnected data landscape.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon Web Services (AWS) Yes 
Claude Yes 
Gemini Yes 
Google Cloud Platform Yes 
Microsoft Azure Yes 
Model Context Protocol (MCP) Yes 
OpenAI Yes 

Integrations

Amazon Web Services (AWS) No 
Claude No 
Gemini No 
Google Cloud Platform No 
Microsoft Azure No 
Model Context Protocol (MCP) No 
OpenAI No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

MilestoneZero

Founded

2022

Country

Israel

Website

milestonezero.io

Vendor Details

Company Name

Epoch8

Founded

2017

Country

Georgia

Website

e8.team/

Product Features

Alternatives

Intellisys Reviews

Intellisys

EvolveWare

Alternatives

GraphDB Reviews

GraphDB

Ontotext
COBOL Colleague Reviews

COBOL Colleague

Phase Change Software
txtai Reviews

txtai

NeuML
Dgraph Reviews

Dgraph

Hypermode