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Qiva
The Intent-Driven Software Pipeline

By Qubiz

You assign a task. An AI agent runs it autonomously in an isolated sandbox and hands back a pull request, while your team reviews and approves at every gate you set. From new features to modernizing decades-old code.

Start with a Discovery

Qiva unifies analysis, implementation, testing, and review into one agentic pipeline built for engineering teams — delivering clear, traceable, review-ready work at every gate you set.

  1. 01IntentA need becomes a work item.
  2. 02AnalyzeRequirements + acceptance criteria.
  3. 03PlanBroken down, estimated, sequenced.
  4. 04BuildCode on real branches.
  5. 05ReviewTests run, then your gates.
  6. 06DeliverThrough your release flow.
  7. 07SupportTickets triaged, looped back.

The agents in production

Foundation → Repository

Architecture Analyst

Helps you design your architecture foundation by selecting from a built-in catalog of state-of-the-art components, which you can tailor to your needs. The result is a generated repository wired with those components, a production-ready foundation you can start building features on from day one.

Curated componentsBuilt from vetted, production-grade patterns.
Repository generatedA wired, ready-to-run deliverable, not a diagram.
Production-readyYour team approves the outcome before it moves on.

Interactive Mode — steer any agent mid-task. Ask questions, correct course, approve decisions live.

Request a demo

Legacy modernization

Qiva reads applications written in older languages like COBOL, Progress, and Visual Basic, works out how they fit together, and helps move them toward modern architecture and technology. Long-stalled migrations become tractable again.

Legacy stack

  • COBOL, Progress, Visual Basic
  • Monolithic codebase
  • On-prem servers
  • Manual releases
Qiva

Modern stack

  • .NET, React
  • Modular services
  • Cloud-native infrastructure
  • Automated CI/CD

Feature explorer

Declarative multi-phase workflows

Flows are defined in YAML with phases, branches, and nodes. Each phase runs in sequence — analysis, intent generation, implementation, testing, PR. Current run status is visible live.

Review and iterate in chat

The workflow pauses at any phase you mark for approval. Review diff cards, then approve, reject, or give feedback. When you do, the agent resumes warm — minutes and a small token delta, not a full rerun.

Agents that know your project, with full observability

Agents reason over your real repositories in live chat and in workflows. Every run is logged — tokens, cost, duration — with budget thresholds and a per-project breakdown.

Modernize legacy systems across your entire toolchain

Point IDSP at a legacy codebase and it maps dependencies, proposes a modern-stack migration, and pauses for approval at each step. Connects to GitHub, GitLab, Bitbucket, Jira, Figma, Claude, and more.

Complete the form and we’ll contact you within the next 24 hours to schedule a call with one of our experts.