cleverai
CleverAI scopes and builds enterprise AI products, including agents, private-data knowledge systems, and workflow automation. Product and engineering teams use it to move an AI use case from discovery into production software.
One of 669 tools in AI Agents
Who it's for
- VPs of Engineering and Digital validating an AI investment before committing to a full build.
- Product and engineering teams adding AI features to an established SaaS application or building a new AI product.
- Platform, IT, and operations teams seeking governed internal AI, private-data copilots, or workflow automation integrated with existing systems.
How it fits your workflow
Bring CleverAI a use case, constraints, and the systems it needs to work with. The team can map workflows and data, assess integrations and governance risks, and define evaluation criteria and success measures.
CleverAI works across product strategy, UX, AI engineering, and full-stack development in reviewable milestones. The page describes private-data RAG, agents, workflow automation, and model choices based on security, data residency, latency, and cost needs.
Delivery can include a production deployment, documentation, runbooks, and enablement for the client's engineering and operations teams. Weekly working sessions provide visibility into progress, decisions, and risks.
Pricing
AI Discovery Sprint
$15,000 fixed
- · Executive stakeholder workshop
- · Use-case and workflow mapping
- · Data and integration assessment
- · Model and architecture options
Production Pilot
Starting at $45,000
- · Product strategy and UX
- · AI and full-stack engineering
- · Private-data RAG or agents
- · Core enterprise integrations
Enterprise Product Build
Starting at $95,000; scoped to your stack
- · Product discovery and service design
- · Custom agents and copilots
- · RAG over approved private data
- · Workflow and human-in-the-loop automation
Prices checked on Oct 22, 2026 from the vendor's site. They can change; confirm before you buy.
Key features
- AI product strategy and delivery
- Combines product strategy, UX, AI engineering, and full-stack delivery to turn an identified use case into production software.
- Private-data RAG and knowledge systems
- Builds knowledge systems that provide cited answers from approved internal sources while preserving source permissions.
- AI agents and workflow automation
- Creates agents and workflows that can combine AI with deterministic steps, approvals, and audit trails.
- Evaluation and quality planning
- Defines evaluation criteria and measures model quality against real tasks, approved sources, edge cases, latency, and cost.
- Enterprise integration and deployment
- Builds into a client's cloud, identity, data, and operating model, with production deployment and operational handoff.
- Milestone-based delivery and visibility
- Uses short, reviewable increments and weekly working sessions to share progress, decisions, risks, and next steps.
Works with
- OpenAI, Anthropic, and Google Gemini
- Microsoft Azure and AWS
- Vercel, PostgreSQL, and Next.js
- Client cloud, identity, data, and workflows
Getting started
- Contact [email protected] or discuss the roadmap with the team, bringing the use case, constraints, and relevant systems.
- Use a fit call to discuss the initiative and whether a discovery sprint, production pilot, or enterprise product build fits.
- For discovery, work through the sprint's workshops, use-case and workflow mapping, data and integration assessment, and evaluation planning.
Frequently asked questions
What does CleverAI build?
CleverAI says it designs and ships custom AI agents and copilots, RAG and knowledge systems on private data, workflow automation, complete SaaS products, and AI features inside existing enterprise applications.