Quick Summary
Capital Compute will attend TechSparks 2026 in Bengaluru from 13 to 15 October. Mansi Shah, Founder, and Udit Sharma, Partner, will be there across all three days to meet founders and technology leaders and discuss AI in custom software development, SaaS products and engineering-team delivery.
Attending too? Contact Capital Compute to arrange a conversation.
Building a useful software product means making decisions about users, architecture, delivery and long-term maintenance. AI can help teams work through parts of that process, but founders still need to know what they are building, how quality will be checked and who owns the result.
That is the conversation we want to have at TechSparks 2026. Our team will be in Bengaluru for all three days, ready to talk about applying AI within custom software development and turning a product idea or delivery bottleneck into a practical next step.
Key Takeaways
- Meet Mansi Shah, Founder, and Udit Sharma, Partner, at TechSparks 2026 on 13–15 October in Bengaluru.
- Discuss AI-assisted software development, SaaS engineering and ways to scale a product team.
- Explore Capital Compute’s workflow of domain-specific rule files, cross-model pull-request review and knowledge capture.
- Bring a real product challenge or backlog item so the discussion starts with an outcome you need.
When and where is TechSparks 2026
TechSparks 2026 takes place in Bengaluru from 13 to 15 October 2026. YourStory organises the event under the theme The New Tech Order, bringing attention to AI, deep technology and the infrastructure shaping technology businesses.
| Event detail | Information |
|---|---|
| Event | TechSparks 2026 |
| Organiser | YourStory |
| Dates | 13–15 October 2026 |
| City | Bengaluru, India |
| Capital Compute attendees | Mansi Shah, Founder; Udit Sharma, Partner |
| Attendance | All three days |
| Our discussion focus | AI in custom software development |
YourStory’s TechSparks 2026 announcement confirms the dates and theme. Visit the official event website for the current agenda, passes and organiser updates.
Who can you meet from Capital Compute
Mansi Shah and Udit Sharma will represent Capital Compute throughout the event. Their experience spans product engineering, SaaS delivery and the commercial decisions involved in commissioning software. You can also learn more about the Capital Compute team before meeting us.
Mansi Shah Founder
Mansi is an engineer turned founder with more than ten years of experience building and scaling SaaS products, as described in her LinkedIn profile. She started Capital Compute to help founders build products and help companies expand their teams with JavaScript and mobile engineers.
If you are deciding how to build an MVP, extend a SaaS platform or add engineering capacity, bring those questions to Mansi. The conversation can start with your product priorities and the work your current team needs help delivering.
Connect with Mansi Shah on LinkedIn.
Udit Sharma Partner
Udit is a Partner at Capital Compute. His LinkedIn profile describes more than ten years of experience in software sales, business development and project management, working with clients across different domains and geographies.
Udit can discuss the business side of a software engagement, including scope, delivery expectations and the collaboration model. If you have a product brief or an engineering requirement, it provides a useful starting point for a focused conversation.
Connect with Udit Sharma on LinkedIn.
Why discuss AI in custom software development at TechSparks
The agenda makes this a relevant discussion. YourStory TechSparks includes sessions on businesses building their own software, the changing CTO playbook and AI-native software delivery. These are organiser-led sessions; our focus as attendees is exchanging ideas about what those changes mean for real product teams.
For us, the useful question is where AI belongs in a delivery process. AI-assisted software development means using AI within tasks such as implementation, review and documentation while retaining engineering accountability for the product. Adding an AI feature to an application is a separate product decision.
- Which part of the delivery process is slowing your team down?
- What needs human review before software reaches users?
- How will you judge the result: a shipped feature, fewer manual steps or a clearer release process?
A specific answer helps avoid a tool-first discussion. Our custom software development process is useful background if you want to think through requirements, delivery stages and review points before the event.
How does Capital Compute apply AI within engineering
Our proprietary AI engineering workflow gives AI work a defined context and adds review before changes move forward. It combines rules for the technology and domain, review by different models and documentation that preserves decisions for the team.
| Workflow mechanism | Purpose in delivery |
|---|---|
| Technology and domain rule files | Custom markdown rules give AI context about the project’s architecture, conventions and domain. |
| Cross-model pull-request review | Different models review a proposed change, adding another perspective before it is accepted. |
| Automatic documentation and knowledge capture | Architecture decisions, common pitfalls and project knowledge remain available for later work. |
The business goal is less avoidable rework and a product the team can maintain. Engineering judgement still matters when defining requirements, reviewing changes and deciding what is ready to ship. AI assistance should support those responsibilities rather than obscure them.
For a UK business planning a product, our UK custom software development services explain how that approach fits into a software engagement. For staffing decisions, our guide to hiring an AI developer offers further reading.
What can we discuss about your software project
Bring the business result you need and the constraint that is getting in the way. That might be an MVP with a tight launch scope, a SaaS platform that needs new features or a team with more work than it can currently deliver.
- Product scope: what must the next release achieve for users?
- Engineering capacity: which skills or ownership gaps need addressing?
- AI workflow: where could context, review or documentation improve delivery?
- Engagement model: how will scope, acceptance and payment be agreed?
We offer outcome-based billing tied to agreed sprint delivery and a one-week free trial sprint to evaluate collaboration. Our own engineering team delivers the work without subcontracting, and clients own their code from day one.
After launch, we provide 90 days of support and fix defects in Capital Compute-written code at no development charge. These arrangements make scope and responsibility part of the conversation from the start, alongside the technology choices.
How can you meet us at TechSparks 2026 Bengaluru
Get in touch with Capital Compute to request a conversation with Mansi or Udit during 13–15 October. Share the day you plan to attend, your company and a short description of the product or engineering challenge you would like to discuss.
You can also connect through their LinkedIn profiles above. Meeting times will be arranged around event attendance. We look forward to meeting founders and technology leaders at TechSparks Bangalore and talking through the software outcomes that matter to their businesses.
