The infrastructure boom is real, but it's bringing a massive, often overlooked side effect: an explosion in regulatory and compliance complexity. Scaling up power plants, data centers, and advanced manufacturing facilities means navigating a labyrinth of federal, state, and environmental mandates. For the modern construction project, keeping pace with these rules has historically been a manual, costly nightmare.
On July 30, 2026, San Francisco-based Dili announced a significant step toward solving this. The startup secured $15 million in Series A funding, led by Khosla Ventures. With previous backing from Y Combinator, this fresh capital pushes Dili's total raised to $21.7 million. For any security & compliance analyst, this announcement signals a critical shift: regulatory oversight is moving far beyond the digital office and squarely into physical assets.
The Infrastructure Compliance Burden
Dili, originating from Y Combinator's Summer 2023 cohort under co-founder and CEO Anand Chaturvedi, isn't building another generic AI administrative assistant. They are tackling the tangled web of U.S. construction mandates. When you're building a multi-hundred-megawatt data center, you're not just managing logistics; you're managing legal jeopardy.
Projects often face a complex stack of overlapping statutory frameworks. This includes Department of Labor Davis-Bacon prevailing wage requirements, clean energy PWA (prevailing wage and apprenticeship) rules under the Inflation Reduction Act, and both OSHA and EPA environmental mandates. When contractors falter, penalties aren't just minor inconveniences; they frequently climb into the millions of dollars. As Chaturvedi rightly points out, traditional compliance—relying on manual spot-checking of payroll submissions or vendor filings—is no longer a sufficient defense against the scale of modern audits.
Why a Security & Compliance Analyst Needs Deterministic AI
Every security & compliance analyst who has worked with generative AI knows the central tension: LLMs are powerful but probabilistic, meaning they hallucinate dates, misinterpret statutory clauses, and invent thresholds. In an environment where the difference between a compliant payroll and a million-dollar fine hinges on precision, "probabilistic" is just another word for "risk."
Dili manages this by utilizing a hybrid, deterministic system architecture. Their design separates the data ingestion layer from the enforcement layer. Contemporary LLMs operate only in the ingestion stack, where their core task is converting unstructured documents—invoices, payroll logs, ERP exports—into structured JSON data.
Once that data is structured, it leaves the LLM's sphere of influence and enters a deterministic compliance engine. Here, static, hard-coded rule sets evaluate the structured payload against explicit legal parameters. There is no guessing. There is no fuzziness. Compliance flags are triggered by logical violations, not model creativity. For the analyst, this separation provides something essential: a verifiable, auditable trail of logic. Fast, automated compliance only delivers value if the results are ironclad, and this deterministic approach is how Dili sidesteps the common pitfalls of generative AI auditing.
Bridging IT Governance and Heavy Infrastructure Realities
Most compliance teams are comfortable within standard enterprise environments. Configuring a security & compliance center office 365 tenant, with its structured DLP rules and cross-suite audit logs, is bread-and-butter work. But those policies often stop at the edge of the physical jobsite.
This is the gap Dili aims to bridge. When an organization builds massive physical capital projects, their corporate security policies must mesh with the realities of site-level statutory compliance. A lapse on a federal-subsidy-receiving site can trigger funding freezes or invalidate vital tax credits. Dili bridges this by applying the rigor of digital governance to third-party paper trails, such as subcontractor payrolls and safety logs, ensuring that corporate standards hold firm regardless of where the work occurs.
Adapting the Cloud Security Incident Response Playbook to Physical Assets
In modern digital operations, security teams rely on a well-tested cloud security incident response playbook to manage configuration drift or credential leaks. Whether it's an exposed S3 bucket or unauthorized access, the playbook dictates immediate isolation, logging, and remediation.
Physical infrastructure requires equivalent operational rigor. Dili's platform is active across roughly 700 projects, where they treat a minor clerical error the same way an IT team treats an unpatched zero-day vulnerability. Just as IT engineers run a security & compliance analyzer veeam report to check data backup integrity and storage policy, infrastructure compliance requires continuous document auditing. Transitioning from periodic spot-checking to automated, comprehensive scanning drastically changes the risk assessment model across multi-year buildouts.
Software-Led Compliance and the Future of Auditing
Dili's market footprint is currently split between software-led tools and managed service models. Half of their customers run the platform directly in-house, while the other half outsource the compliance workload entirely to Dili.
Chaturvedi expects this to shift. As software and AI continue to "eat" routine professional services workflows, expect enterprise customers to increasingly pull these compliance operations back in-house. Relying on external consulting firms to manually check payroll sheets and safety submittals is simply too slow and expensive for modern infrastructure.
For the compliance professional, the takeaway is clear. The future isn't just about managing software tools; it's about mastering deterministic AI to manage increasingly complex physical systems. As AI automates the mundane, the strategic value of the compliance analyst will lie in designing, auditing, and overseeing these high-stakes, automated systems. The infrastructure boom isn't just about concrete and steel—it's about the software that defines the rules of the build.