Common questions about Cisely.

Cisely is the agentic platform to build business systems that last. Your people decide what matters: the strategy, the customers and what to build for them. AI agents do the work from that one business context, from the first idea to running software. The result is enterprise-class, explainable and deterministic.

AI made output cheap, so a team can ship in days what used to take months. But more output is not a better result for your customers or your business. Cisely puts your people’s attention on outcomes: what you believe, who you serve and what they expect. Then it shows which delivered work moved those outcomes.

Cisely is for organisations that build right, not more. They think in systems, and to them AI is a force multiplier for human judgement. We work with enterprise leaders, founders, systems integrators and the builders beside them. If you want AI to make the decisions for you, another tool will serve you better.

No. App builders are good for a demo, and you get something that works in minutes. Cisely works on both sides of the demo. Before it, Context Management decides what the demo must prove. After it, the Software Factory builds the real system, enterprise-class from its first version, and you own the code.

Yes, and Cisely starts before the prototype. The real question is what the prototype must prove. In Context Management, you decide who it is for, what they expect and how you will know it worked. Your own coding agent can then read that context over MCP and build a quick mock to show it. When you build it for real, the Software Factory makes it enterprise-class from the first version.

Cisely asks you to decide before anything gets built. That takes thought, and at times it will not feel comfortable. The friction is deliberate: it keeps the prototype pointed at the outcome you want.

Keep using them. They are excellent, and Paroksh can run on your own Claude Code or Codex subscription. The question is what the agent works from. Alone, a coding agent has no brief, no company standards and no scorecard. Cisely gives it all three: a model of your intent, controls that come from that model, and a measure of each delivery.

You can, and writing it down helps. But a markdown file is a memo, and a memo cannot enforce anything. An agent can skip it, and nothing checks the code against it. In Cisely, the brief is a model: typed, linked and versioned, and the platform enforces it. Your own assistant can read that model over MCP, so your skills keep working.

Your people decide what matters: your beliefs, your strategy, the customers you serve and what they expect. Paroksh, the Cisely agent, drafts that context with you and builds the software from it. Everything it drafts stays a draft until a person approves it. Risky actions wait for a person.

Paroksh works in its own isolated environment, and each session ends in a proposed change. A person reviews and merges it, so Paroksh never writes straight to production. In the applications you build, agents use only the operations you allow, and they act as the person they serve. Cisely records every turn, tool call and model call.

Each user story names the customer expectation it serves. Cisely does not commit a story without a live expectation behind it. A story counts as a success only when a metric measures that expectation and a person writes down the reason. So you can show which delivered work moved an outcome, and which did not.

No. You do not write the model by hand. Paroksh asks you short questions, reads what is public about your business and drafts the model. You approve it in a session, not a month. After that, the model makes you faster, because you do not rebuild the first version when your first enterprise customer arrives.

Yes. Paroksh runs on Anthropic, OpenAI, Google or AWS Bedrock, or on your own Claude Code or Codex subscription. Your own AI assistant can also work in Cisely through MCP, as you and with your permissions.

It is right to ask. Veracode’s 2025 research found that AI models chose the insecure option in 45% of coding tasks. So Cisely does not ask the AI to remember security. The AI helps write the model, and the compiler turns it into code, the same way every time. The database enforces tenant isolation, and every authorization decision is checked and recorded.

Explainable means that every part of the system can say why it exists. Each user story traces to the customer expectation it serves, and each change keeps its reason. Deterministic means that the same model always compiles to the same system. The AI helps write the model, but it does not improvise the code.

You do. Your workspace is private, and no other workspace can see your business model, your projects or your data. You can pull the generated code into your own repository at any time, and run it in your own cloud. If you leave, you can ask us to erase the data in your workspace.

Yes. Most of the value is in those systems, so Cisely connects to them rather than replacing them. Each outside system becomes a declared gateway in the model, over HTTP, WebSocket or older protocols such as HL7. Cisely can stand in for a system that your team has no access to. Your identity provider and authorization engine connect too.

No. Vishwakarma compiles into ordinary code: Go, PostgreSQL, TypeScript and React. You can pull that code into your own repository at any time. If you leave, you keep a normal application that your engineers can read and run. You do not need to hire for the language either, because Paroksh writes it with your people.

It is the right question to ask any young company, so we designed the answer into the product. You own your generated code, and it runs on standard infrastructure such as PostgreSQL and Kubernetes. You can run it in your own cloud. If Cisely disappeared, your system would keep running. And we run our own company on Cisely.

Request a demo. We look at a real initiative of yours together, and we show both pillars at work on it. A person reads every request.

Yes. In Outcome Engineering, we run the Software Factory for you, as a partnership. We agree with you what a successful outcome looks like. Then we build the whole product with your team, through to a running system.

Your practice turns its expertise into models that it owns and can sell again. Your consultants work with Paroksh to deliver for each client with fewer people. The client relationship stays yours, and Cisely is the platform underneath.

On Cisely’s hosting, or in your own cloud account. The same deployment contract runs in both places. In your own cloud, your data, databases and traffic stay there. You can also use your own domain.

We price on the outcomes that customers achieve, not on seats. Plans set the entitlements and limits. For the terms that fit your organisation, request a demo.