Whether you are looking to integrate one of our existing AI solutions or require a custom-built agentic platform to solve a unique challenge, Sourcebits offers the technical agility to build and the enterprise infrastructure to scale.
Pilot a Product
Most of our products are currently in an active "Beta" or "Early Access" phase. We are looking for forward-thinking organizations to pilot these tools, providing the real-world feedback that helps us refine our models for maximum business impact.
Strategic Collaboration
For organizations within the Ascendum Solutions ecosystem and beyond, we offer deep-tier partnership opportunities to co-develop proprietary AI intellectual property.
Contact Our Team
Ready to see what the next generation of AI can do for your operations? Reach out to schedule a demo or discuss a pilot program.
An AI agentic platform built for real product teams.
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Product artifacts with AI
Product development cycles are clogged with ambiguity, rework, and misalignment—where great ideas are lost in Slack threads, meeting transcripts, and notebooks. Beanstalk changes that by delivering a purpose-built AI platform that captures the intent behind product conversations and converts them into structured, actionable artifacts like PRDs, epics, and design-ready outputs.
Agentic architecture
Whether it's a design sprint kick-off or a cross-functional discovery session, Beanstalk captures the discussion and instantly translates it into actionable PRDs, epics, stories, and estimates - all with traceable context andenterprise-grade controls. While general-purpose tools like ChatGPT provide unstructured responses to prompts, Beanstalk is engineered to produce structured, persistent product artifacts aligned to your workflows.
How it works?
The process begins by collecting a variety of inputs, transcripts, notes, documents, UI screenshots, and architecture diagrams that provide the foundational context. These materials are then processed collaboratively by intelligent agents who share and build upon that context. Through this coordinated effort, the system generates structured outputs such as project documentation and epics, transforming raw data into actionable deliverables that drive development forward.
Product Requrement Document & Breakdown Engine
Contextual Intelligence
Upload supporting context files (e.g., past tickets, specs, transcripts, PDFs) to augment the AI's understanding
Inject contextual data into agent prompts for precise, relevant generation
Context is persistent across project sessions
Version Control & Confirmation Layer
Every change is diffed before being committed - users approve before AI changes go live
A complete version history of PRDs, stories, and breakdowns is maintained
Future versions support audit trails, branching, and rollback
Role-Based Access & Collaboration
Fine-grained user roles: Viewer, Editor, Admin, Owner
Shared projects with permission control across internal teams and external stakeholders
Collaboration-friendly UI modeled after developer platforms
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