Take outputs from Claude Code, Cursor, ChatGPT, and vibe-coding tools to production — safely, on your data, in your cloud. Use the platform yourself, or hire our AI engineering team to build, deploy, and govern your AI apps end-to-end. Either way, we ship the governance, security, and deployment layer enterprise AI demands.
Claude Code, Cursor, ChatGPT, and the wider vibe-coding stack make prototypes in minutes. The moment you need real data, real users, and a real audit trail — every team rebuilds the same governance, security, and deployment layer from scratch.
Pasting production data into ChatGPT or Claude.ai isn't allowed in most enterprises. Public vibe coding platforms run on public infrastructure too. Your CISO won't sign off on production data flowing through someone else's tenant.
Generated code ships with unscanned dependencies. No vulnerability check. No SAST. No SBOM. No Okta integration. No way to prove to a regulator what shipped, when, and why.
The prototype works. The CTO blocks the production deploy. The project sits for 6 months waiting for engineering to "do it the right way." Vibe coding becomes a sandbox, not a shipping line.
Clarista is the vibe coding platform built for enterprises. Describe what you want — we ship it to your cloud, on your data, scanned, audited, and rolled into your existing Git, SSO, and security stack.
Apps run on your Snowflake, S3, SharePoint — federated through Clarista's data catalog. No migration. No data ever leaves your perimeter.
DATA FABRIC →AI-generated code passes through SAST, dependency scan, secrets detection, and license review — automatically, on every build. Your security team sees the report.
SECURITY →Native GitHub + GitLab integration. Okta + Azure AD SSO. Every prompt, every change, every output — fully logged. Regulator-ready exports in one click.
GOVERNANCE →Apps deploy to managed Kubernetes with auto-scaling, multi-region failover, health checks, and one-click rollback. Live in 2 minutes. Up for years.
HOSTING →Azure OpenAI in your tenant. AWS Bedrock. Anthropic Claude via your enterprise contract. On-prem Llama. Your model, your tokens, your costs. We orchestrate.
BYO LLM →Every prompt logs token cost, latency, and outcome. Set hard caps per app or per user. Your CFO finally has visibility into AI spend — by team, by app, by use case.
COST OBSERVABILITY →No engineering team needed. No 6-month build. No data migration. Describe it. Approve it. Ship it.
Type what you want in natural language. "Build an IC memo generator that reads our deal CIM, applies our investment framework, and routes for partner sign-off."
Clarista generates the app, runs security scans, opens a pull request in your Git repo. Your team reviews — same workflow they use for every other code change.
Approved. Clarista deploys to your cloud. SSL on, SSO wired, audit log streaming. Users access via your existing identity provider. Live in 2 minutes.
Raw model APIs and consumer assistants are great for prototypes. Here's the line enterprise buyers care about: what an actual production deployment requires, and who delivers it out of the box.
Looking specifically for vs Lovable / Bolt / V0 / Replit / Cursor comparisons? Those live on our platforms compare page.
Examples of apps customers ship on Clarista — built in days, in production for years.
Reads CIM + financials + firm playbook. Drafts 5-page credit memo with sourced citations. Routes for compliance approval before LP delivery. Replaces 3-day analyst workflow.
Pulls client portfolio, last 12 months of CRM notes, and market context. Produces pre-meeting brief with talking points and next-best actions. Sourced to every claim.
Searches across SharePoint, Notion, Confluence, and Slack. Answers employee questions with sourced citations. Permission-aware — never shows data the user can't access.
Handles tier-1 customer queries on your data. SOC 2 audit-logged. Hands off to humans for complex cases. Refuses to answer where data permissions block it.
Every AI app on Clarista comes with audit logs, vulnerability scans, BYO LLM, SSO integration, and SOC 2 controls — out of the box. We built the platform around the things your security team would otherwise block.
See the security model