Every breakthrough product starts with a bold idea. The innovative engineering teams that make up NVIDIA Inception and NVIDIA Connect Program members are shaping the future of technology, and we’re here to support them with an AI software development platform that empowers them to build with confidence.
The entire solution integrates seamlessly into the software development lifecycle, working inside existing IDEs, source code management systems, and IT environments—so you don’t need to change how you build. Tabnine AI agents understand your codebase, workflows, and best practices. Our AI provides contextually relevant, production-ready recommendations—not just generic code suggestions. The platform enables you to accelerate development without increasing technical debt, by ensuring every AI-generated recommendation meets security, compliance, and performance standards.
Inception and Connect program members can request access to a special offer to access the Tabnine AI Software Development Platform. Inside you’ll be able to leverage the most powerful new LLMs, embed them into your SDLC with pre-built AI agents, and have confidence in their recommendations through using the sophisticated RAG architecture found within the enterprise context engine.
Accelerate your workflows with AI code completions, in IDE AI Chat, and AI agents for every step of your SDLC. These are all delivered in the IDEs you already know, love, and use. Tabnine AI Agents help developers onboard, create, document, test, fix, and review code. You can also use them to support code maintenance, understand legacy applications, and modernize your codebase. Today, we see a 75% automation factor for our customers with every 3 out of 4 lines of code being generated by Tabnine.
Every interaction with Tabnine is designed to be human-in-the-loop. Our agents always keep developers informed and fully in control through explaining suggestions, providing attribution and references, and showing the diff in the code which must be accepted by the developer. But what really makes them unique is their context awareness.
The core of our platform is the Enterprise Context Engine. This is what enables our AI to make recommendations that match your patterns and fit your applications so you can accelerate your SDLC without scaling technical debt. Our context engine creates an 82% lift in code acceptance rates vs a non-contextualized LLM response and we’ve built the most context aware AI agents available in the industry today. The context engine enables Tabnine AI agents to both generate and validate code through a Control Layer and an Insights Layer.
The Control Layer protects engineering teams from the risk of IP liabilities, IP leakage, and AI generated vulnerabilities. Set your policies for license compliance and our Code Provenance and Attribution + Censorship capability automatically scans every line of code in real time, checking it against publicly available repositories, flagging the code source and license type, and suppressing any code that does not meet your compliance policies.
Define your policies on LLM usage by selecting your set of models and the way you’d like to access them whether via SaaS, private endpoint, or deployed on-prem. Your team will only be able to use approved models inside of Tabnine within their IDE preventing shadow AI and eliminating the risk of IP Leakage.
Generic AI tools are known to generate technical debt and can hallucinate packages. The Insight Layer solves that with context awareness. It’s aware of 15+ data points in the IDE with highlights like image as context, terminal as context, and more. You can also connect any git-based repositories and non-code sources like Jira. Tabnine AI agents are aware of all the context sources you connect and we use a sophisticated approach to retrieval augmented generation leveraging semantic, vector, graph, and agentic approaches to find the right context, from the right source, at the right time, for the task at hand. For example, our Jira Implementation and Validation Agent can execute Jira Tickets in seconds directly inside your IDE. But Tabnine agents can also validate and review code. For example, our Testing Agent automates the creation of comprehensive testing plans and implements tests. Customers report they are pleasantly surprised at its ability to find valuable test cases that they had not considered yet.
Now, our Code Review Agent is truly exciting. Generic AI assistants can generate code with security vulnerabilities. Our Code Review Agent uses a code review rule set customized to your organizational standards for security, maintainability, architecture, and more. The agent will find, flag, and suggest fixes to code in the PR, IDE, and terminal – empowering your developers to rapidly bring generated code into compliance with your policies and standards both before and during code review.
Many NVIDIA Inception and Connect program members work with sensitive intellectual property, proprietary algorithms, or confidential customer data. Tabnine’s AI software development platform is built with enterprise grade privacy and security. With it you can use AI to enhance innovation, without introducing risk.
Tabnine is built to run wherever you need it—whether on-premise, in a virtual private cloud, or a secure air-gapped environment. Secure fully private SaaS deployments are also available. With every deployment type, Tabnine operates securely on NVIDIA GPUs, delivering high-performance, low-latency AI agents and coding assistance without compromising your data sovereignty. Accelerate software development with AI while keeping full control over your IP.
The world’s most innovative companies—from semiconductor leaders to aerospace pioneers, global banks, and governments—trust Tabnine to accelerate software development in highly regulated environments. Now, we are bringing those same industry-leading AI capabilities to NVIDIA Inception Program and NVIDIA Connect Program members.
Request access to your NVIDIA Inception Program and Connect Program benefit today and get access to the capabilities waiting for you inside Tabnine
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