Customer story

The Challenge: Confidential Development, Limited Visibility, and Scaling AI Risk

Opaque’s confidential AI platform empowers organizations to compute on encrypted data—but scaling this innovation across enterprise environments brought its own development challenges. Teams were grappling with deeply secure, hybrid architectures while trying to build and ship quickly. Engineering velocity was hard to measure. Rework rates were unclear. And as new hires and partners joined the effort, it became increasingly difficult to align teams around what was slowing them down—or where resources were being lost.

Opaque needed a system that could give engineering leaders and product managers the same secure, high-integrity view of the software development lifecycle (SDLC) that their platform was delivering to end users for data privacy.

Efficiency is key for startups like Opaque to build an enterprise-class feature set rapidly. In Silicon Valley’s hyper-competitive environment, credibility is earned through functionality and delivery speed. Opaque needed to demonstrate maturity and readiness to serve large-scale customers without the overhead of legacy engineering practices.

In parallel, capital efficiency is vital. For early-stage companies, development costs often represent the largest component of cash burn. Opaque's leadership recognized that optimizing engineering throughput wasn’t just operational—it was existential. They needed to know where every development dollar was going, what output it was generating, and how to reduce waste across the SDLC.

The Solution: Process Intelligence with Bloomfilter

Opaque deployed Bloomfilter to gain end-to-end visibility into their SDLC—while meeting their rigorous privacy standards. Bloomfilter’s Process Intelligence engine uses process mining to build a real-time, ground-truth map of how work flows from ideation to production. It goes far beyond traditional business intelligence by revealing the actual execution paths across Jira, GitHub, CI/CD tools, and sprint boards—highlighting friction points, wasted effort, and misaligned processes.

At the heart of the deployment were two key differentiators:

• The Risk Analysis Module, which continuously monitors epics, tasks, and pull requests for signals of risk—automatically categorizing issues and suggesting next-best actions.

• Flora, Bloomfilter’s agentic AI assistant, surfaces strategic insights and answers complex SDLC questions in natural language—from cycle time variance across teams to identifying contribution opportunities and sprint performance. Flora acts as a decision support system for engineering leaders, translating process mining data into plainspoken answers and clear trade-offs.

“Bloomfilter’s AI capabilities aren’t just reactive—they’re predictive. Flora helps us answer questions we didn’t even know to ask, surfacing patterns and risks across our SDLC that would’ve taken weeks to spot manually.”

— Rishabh Poddar, CTO, Opaque

Why Not Business Intelligence?

Opaque previously relied on standard BI dashboards, but they quickly hit their limit. BI was great for “what happened,” but not “why,” and certainly not “how to fix it.” Bloomfilter’s Process Intelligence approach gave Opaque:

Causal insights, not just descriptive metrics
Real-time visibility, not just historical summaries
Root cause diagnostics and prescriptive actions, not just trend reports

In short, Process Intelligence gave them a way to debug and optimize their entire development process, with the same rigor they applied to their AI privacy stack.

The Results: Secure Insights, Faster Delivery, Better Collaboration

Within the first month of using Bloomfilter:

• Average cycle time dropped 23%, particularly in code areas supporting confidential SDK delivery
• High-Risk tasks were triaged 38% faster thanks to automated risk summaries
• Cross-team alignment improved, as Flora became a trusted interface to answer key questions in sprint reviews and planning sessions
• Audit-readiness improved dramatically, with clear, evidence-based reports of how work was flowing—without leaking a single byte of IP

“We needed more than metrics. We needed meaning. Bloomfilter gave us clarity in a way that respected everything we stand for.”

Aaron Fulkerson, CEO of Opaque

Looking Ahead: Secure AI, Transparent Process

Opaque’s vision of confidential AI aligns deeply with Bloomfilter’s mission of making software development observable, predictable, efficient, and nimble (OPEN). Together, they’re demonstrating that you don’t need to trade speed for control or insight for security.Bloomfilter now plays a strategic role in Opaque’s engineering strategy—informing org design, resourcing decisions, initiative prioritization, and even quarterly OKRs. As Flora continues to evolve, it’s becoming a daily companion for developers, tech leads, and product managers alike.In the era of AI, governance and velocity must go hand in hand. With Bloomfilter, Opaque is showing the industry how it’s done.