Extract More
Intelligence From
Every AI Token.
Turn fragmented documents, emails, chats, repositories, and system of records into structured system of context that improves AI accuracy while reducing unnecessary token consumption.
Two ways to put context-aware AI to work.
Adopt the Cubyts SDLC Platform as a managed product, or partner with us on a custom engagement to build context engines and agents tailored to your enterprise.
Cubyts SDLC Platform
Our productized context engine and agent suite for software delivery — deployed into your stack as a managed service. Continuous SDLC context, delivery health, governance, and AI coding assistance, available out of the box.
Customised AI Services
Bespoke context engineering and enterprise AI agents built for your domain, workflows, and systems of record — delivered through our five-stage engagement model: Diagnose, Design, Deploy, Improve, Scale.
A snapshot of Cubyts agents used across the SDLC.
Every enterprise runs differently. We build custom agents that fit your workflows, integrate with your stack, and operate within your governance model.
Code Atlas
See which parts of your codebase need attention
Explore agent →System Context
Give third-party AI coding agents a live, system-wide view of your SDLC
Explore agent →Process Guardian
Keep delivery workflows disciplined without slowing teams down
Explore agent →Feature Quality
Keep feature delivery healthy from planning to release
Explore agent →Code Sentinel
Detect risky code patterns before they turn into technical debt
Explore agent →Doc Assurance
Keep delivery documentation complete and aligned with execution
Explore agent →Context-aware AI, proven in real workflows.
Explore how context-aware AI improves delivery health, governance, and developer productivity across enterprise software teams.
Delivery Health Intelligence
B2B SaaS Product Company
Real-time signals from Jira, Git, and CI/CD that surface rework and drift early — turning sprint execution into a predictable, measurable system.
SDLC Governance
Fintech Platform
Continuous validation across requirement, code, test, and release — cutting feature misalignment and making audit readiness a same-day activity.
SDLC Context Engineering
Internal Reference Implementation
A unified context graph exposed to AI coding agents — reducing PR rework, iteration cycles, and AI correction loops across multi-repo development.
Book a call.
Discuss where context-aware AI can create measurable impact in your enterprise workflows.