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What is GraphBit?

GraphBit stands out as a powerful AI framework specifically designed for enterprises, aimed at overseeing critical AI infrastructures with an emphasis on security, governance, and dependable performance in production environments. By utilizing a high-performance Rust execution core combined with a Python wrapper, it provides developers with an ideal mix of efficient orchestration and the accessibility of Python, which empowers the creation of reliable multi-agent workflows that minimize CPU and memory consumption. The architecture of GraphBit is carefully crafted to reduce potential risks, featuring multiple layers that include interfaces, configuration, models, tools, actions, memory, orchestration, and observability. This framework integrates effortlessly with existing applications, supports the development of customized AI interfaces, and allows users to interact through user-friendly workflows while ensuring actions are well-regulated. Teams can establish policies, rules, and safeguards from a centralized platform, with GraphBit facilitating compliance without the need for alterations to application code. Moreover, it supports LLMs and multimodal models from various providers, offering teams the flexibility to swap models seamlessly while maintaining workflows and governance. With such a thorough design, GraphBit not only boosts operational efficiency but also encourages innovation, enabling teams to concentrate on crafting cutting-edge AI solutions that can adapt to future challenges. Ultimately, this positions GraphBit as a vital tool for organizations striving to stay at the forefront of AI technology.

What is Graft?

Graft AI is a platform for helping AI agents safely use the legacy software that businesses already depend on. It turns real application interfaces into stable tools, allowing agents to execute workflows without requiring source-system replacement or new APIs. Graft is built for systems such as ERPs, mainframes, desktop apps, web portals, virtual desktops, internal applications, custom systems, and file-based workflows. The platform observes real workflows and maps screens, inputs, transitions, rules, side effects, and interface states. It then compiles those workflows into typed schemas, adapters, policy boundaries, recovery behavior, idempotency rules, and conformance tests. Agents can call the resulting stable MCP tools instead of rediscovering and navigating the interface from scratch each time. Graft verifies source-system effects through independent evidence, such as source records or generated IDs, so actions can be proven rather than assumed. Policy controls enforce approvals, roles, boundaries, least-privilege access, and permission-aware execution before agents make changes. Every action is logged with full context, giving teams a complete audit trail across workflows such as order creation, invoice processing, customer updates, ticket creation, reconciliation, reporting, and support operations. The platform runs in the customer’s environment, keeps data under customer control, and states that customer data does not train its models. By combining interface mapping, stable tool contracts, governed execution, source-effect verification, audit trails, and agent framework compatibility, Graft AI helps enterprises extend AI agents into the systems they cannot replace.

Media

Media

Integrations Supported

Model Context Protocol (MCP)
Python
TypeScript

Integrations Supported

Model Context Protocol (MCP)
Python
TypeScript

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

GraphBit

Date Founded

2024

Company Location

United States

Company Website

www.graphbit.ai/

Company Facts

Organization Name

Graft AI

Company Website

graft.axcelner.com

Categories and Features

Categories and Features

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