Innovacore

The web IDE with AIfor teams that needcontrol.

Centralize models, standardize environments, and govern AI from a single platform.

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SSO / RBAC
Tool Logging
Model Access
Prompt Auditing
Cost Tracking

AI Governance at enterprise scale.

Run AI agents and environments in governed workspaces with built-in audit and observability. Measure adoption, review activity, and scale AI-assisted development without sacrificing security.

Developer Productivity

Onboard developers and AI coding agents to projects in seconds. End of "works on my machine" — no more wasting time navigating legacy READMEs or endless approval queues.

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create transfer API

Secure Source Code

Move source code and sensitive data from decentralized laptops to secure development environments in your own infrastructure. Compliance guaranteed, no exposure to public models.

ReqSmartRouterClaude Opus 4.6400Gemini 3.5400

Cost Control

Eliminate redundant individual subscriptions and unlimited API consumption spikes. Strict budgets per team, project, and user with automatic infrastructure right-sizing.

One platform to standardize how your team uses AI.

It's not just a copilot. It's Enterprise development infrastructure designed to inject AI into code, with absolute control, traceability, and scalability.

  • Model management per organization, budget limits per team, full audit of actions and execution policies. All from a single Control Plane.

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Teams

Control Plane

RBACBudgetAudit
Claude Sonnet 4.6
GPT-5.3
Gemini 3.5
Hard limit enforced

Audit log

policy=allowteam=platform
model=claude-sonnetlatency=620ms
cost=$0.024trace=ok

Provision standardized and secure development environments in seconds (not days) using custom templates that guarantee consistency by default.

Scale AI Coding Agents

Scale AI Coding Agents

InnovaCore Hub gives you control to run any AI coding agent — on your infrastructure, alongside your developers, at scale.

Deploy Anywhere

Deploy Anywhere

Deploy InnovaCore Hub on your infrastructure, on any cloud or fully air-gapped on-premises, to maintain total control.

Any IDE

Any IDE

Use any web or desktop IDE — VS Code, JetBrains, Cursor, Jupyter. InnovaCore maintains official plugins for each.

Multiple OS

Multiple OS

Work on Mac, Linux, and Windows — InnovaCore supports the tools and operating systems your projects require.

Integrate Your Stack

Integrate Your Stack

Bring your identity provider, container registry, observability tools, and Terraform — no vendor lock-in.

Enterprise environments with

From initial setup to automated development in 5 steps. Designed not to disrupt your current tools.

STEP 01

Connect your organization

Configure SSO, GitHub, Azure DevOps in your organization. Manage it through InnovaCore Hub.

STEP 02

Define Governance

Assign cutting-edge models (GPT-5.3, Opus 4.6, Gemini 3.1), set spending limits, and create policies per team.

STEP 03

Create Standardized Environments

Deploy immutable container-based workspaces ready to start coding.

Project: InnovaCore-Web - mainDeploy to ECSmain*0 errors0 warningsLn 27, Col 1TypeScriptLn 35, Col 12COBOLTSapi.tsCOBmain.cblsrc / utils / api.tssrc / legacy / proc / main.cbl123456789101112131415161718192021222324252627import axios, { AxiosInstance, AxiosResponse } from 'axios';import { Logger, Metrics } from '@innova/core';import { RetryStrategy } from './decorators';/** * Core API Gateway Service * Handles authentication, retry logic, and telemetry. */export class ApiGateway {private client: AxiosInstance;constructor(private config: ApiConfig) {this.client = axios.create({baseURL: config.baseUrl,timeout: 10000,headers: {'Content-Type': 'application/json','Authorization': `Bearer ${process.env.API_KEY}`}});}@RetryStrategy( { attempts: 3, backoff: 'exponential' })public async execute<T>(endpoint: string, data: any): Promise<T> {Logger.info(`[API] Requesting ${endpoint}`);return await this.client.post<T>(endpoint, data);}}1234567891011121314151617181920212223242526272829303132333435IDENTIFICATION DIVISION.PROGRAM-ID. INNOVA-BATCH-PROC.ENVIRONMENT DIVISION.INPUT-OUTPUT SECTION.FILE-CONTROL.SELECT INPUT-FILE ASSIGN TO 'INP-DATA.DAT'ORGANIZATION IS LINE SEQUENTIAL.SELECT OUTPUT-DB ASSIGN TO 'DB-CONN'.DATA DIVISION.FILE SECTION.FD INPUT-FILE.01 CUSTOMER-RECORD.05 CUST-ID PIC X(10).05 CUST-BALANCE PIC S9(7)V99.05 CUST-STATUS PIC X(1).WORKING-STORAGE SECTION.01 WS-EOF-FLAG PIC X(1) VALUE 'N'.01 WS-TOTAL-PROCESSED PIC 9(5) VALUE 0.PROCEDURE DIVISION.000-MAIN-PROCESS.OPEN INPUT INPUT-FILEPERFORM UNTIL WS-EOF-FLAG = 'Y'READ INPUT-FILEAT END MOVE 'Y' TO WS-EOF-FLAGNOT AT END PERFORM 100-PROCESS-RECORDEND-READEND-PERFORMCLOSE INPUT-FILEDISPLAY 'TOTAL PROCESSED: ' WS-TOTAL-PROCESSEDSTOP RUN.100-PROCESS-RECORD.IInnovaCore AISession Budget:Unlimited.Token Policy:Medium.Explain this complex API wrapperand its retry logic.This is a highly decoupled ApiGateway utilizingAxios for network requests. It injects authenticationvia the config block and uses a custom decorator@RetryStrategy to manage exponential backoffs.api.tsTypeScriptheaders: {'Content-Type': 'application/json','Authorization': `Bearer ${process.env.API_KEY}...`}View Telemetry✓ Auth Flow VerifiedMigrate this legacy COBOL file processorto a modern Spring Boot service.Migration mapped! The sequential file read logic translatesbeautifully into a Spring Boot JPA/Stream workflow.Here is the modernized CustomerBatchProcessor:CustomerBatchProcessor.javaJava@Service@RequiredArgsConstructorpublic class CustomerBatch {@Transactionalpublic void process(List<Dto> recs) {long count = recs.stream().filter(c -> "A".equals(c.getStatus()...Approve & MergeView Diff› 2 FilesUndo AllKeep AllReviewPlan, @ for context, / for commandsExplain this complex API wrapperand its retry logic.Migrate this legacy COBOL file processorto a modern Spring Boot service.AgentSonnet 4.6
STEP 04

Develop with Integrated AI

The team uses an AI that understands the entire repository, developing and generating documentation under full audit.

Trigger
Agent
PR
Deploy

Run log

cron(02:00) trigger received

agent generated patch on auth.ts

deploy status: healthy

STEP 05

Automate Tasks

Agents operating in the background.

Onboarding Time
80%

From weeks to minutes with reproducible environments.

Environment Consistency
99.9%

End of "works on my machine".

Shadow AI Risks
100%

Total control, immutable audit of prompts and limited models.

Cost Control
Optimal

Strict budgets assigned per team, project, and user.

Designed for teams that don't improvise.

Standardize and move development from laptops to your infrastructure — without sacrificing the tools, speed, or experience that developers and coding agents need.

Platform Engineers

Deliver consistent environments securely to thousands of developers.

  • Unlimited Templates

    Define templates that let developers provision their own ephemeral workspaces as code.

  • Any Git Provider

    Connect with any Git provider — GitHub, GitLab, Bitbucket, or Azure DevOps — for direct access to your projects.

  • Built-in RBAC

    Assign roles and permissions to control who can access and manage workspaces and templates.

  • Activity Dashboards

    Full visibility over workspace usage, costs, and developer activity across the organization.

Security & Risk Leaders

Secure source code and establish AI guardrails.

  • Air-gapped Deployments

    Deploy InnovaCore in offline or highly restricted environments with zero external dependencies.

  • Identity Integration

    Native integration with OIDC and SAML for seamless Single Sign-On across your enterprise.

  • Audit Logging

    Track every platform action with complete audit logs for compliance and security.

  • Network Isolation

    Isolate workspaces within your network perimeter, keeping source code and data where they belong.

Frequently Asked Questions

Everything you need to know about adopting, securing, and deploying InnovaCore in your enterprise.

No. It's a complete governance and standardization layer for Enterprise teams. Unlike an individual copilot, InnovaCore lets you manage policies, have immutable audit of generated code, and control budgets per user and project.

Centralize how your team uses AI.

Standardize environments. Govern models. Automate development.