How We Build
AI-accelerated development, end to end.
Most software companies treat AI as a side tool. We treat it as a core part of our engineering process — from writing code to reviewing it, testing it, and shipping it. The result is a product team that can move significantly faster without sacrificing quality. We're open about this because we stand behind it: AI accelerates every step, and humans stay accountable for everything that ships.
Features ship in days
When you ask for a new report format, a new workflow, or a fix to how data is displayed, we can turn it around in days — not the weeks or months that legacy equity platforms require.
AI-assisted code review
Every pull request is reviewed not just by engineers, but with AI tooling that catches edge cases, enforces consistency, and reduces the bug surface before features ever reach you.
Purpose-built, not adapted
We did not take a generic SaaS template and bolt on equity features. Every screen, workflow, and data model was designed specifically for how small and micro-cap equity data is actually used.
Short feedback loops
When a client tells us something is off, we can investigate, understand the root cause, and push a fix in the same week. No waiting for a quarterly release cycle.
No legacy technical debt
Sannaii was built from scratch on a modern stack. There are no seven-year-old modules from an acquisition or unmaintained dependencies that slow down every change.
Clean, continuous delivery
AI-generated tests protect critical functions — cap table and vesting calculations — on every deployment, verified against results we control. Nothing ships on the AI's word alone.
The Difference
Traditional platforms were built for a world before AI.
Legacy equity management software was engineered years ago with large teams, long release cycles, and heavyweight processes. Their pace of change is governed by roadmap committees and QA queues that span months.
We operate differently. Our development loop is tight: a client surfaces a need, we design a solution, AI tooling accelerates the build and the review, and the change ships. The platform you use improves continuously — and specifically around what matters to micro-cap and small-cap companies.
New feature request to production
6–12 weeks
3–7 days
Bug fix turnaround
Next quarterly release
Same week
Reporting format change
Requires professional services
Included and fast
Platform built for your segment
Generic, enterprise-first
Purpose-built for micro & small cap
Development approach
Legacy codebase
AI-accelerated from day one
Our Engineering Philosophy
Speed without shortcuts.
Moving fast only matters if the underlying data stays correct. Our AI-assisted process is specifically designed to preserve data integrity at every step. We automated the checking, not the accountability.
What AI development means in practice for your equity data
- 1
Vesting schedules, cap table math, and exercise calculations are regression-tested on every deploy. AI tooling generates and maintains those tests automatically.
- 2
When IFRS or GAAP disclosure requirements change, we update the reporting module fast — because the codebase is clean and the change surface is well-understood.
- 3
New workflows requested by clients — custom approval chains, new security types, jurisdiction-specific rules — get built and shipped without waiting for a major version.
Days
Typical feature turnaround
100%
Purpose-built for small & micro cap
Zero
Legacy technical debt
Fast
Continuous delivery, every week