Sigrid gives consulting and advisory firms a standardized, data-driven view of any client's codebase — so your recommendations are grounded in evidence, not sampling, developer interviews, or a model's best guess.
Sigrid turns codebase analysis into evidence you and your client can look at together — not a black box, and not a one-off snapshot.
Findings come from analysis of the actual codebase, not developer interviews or sampling — so your recommendations hold up under client scrutiny.
Run the same codebase twice and get the same result. Sigrid's checks are deterministic and repeatable, not a language model's best guess — a meaningful distinction as more advisory and quality-review work leans on AI.
Benchmarked against 10,000+ industry systems, rebalanced yearly — so a score means the same thing across clients, industries, and engagements.
Reports are designed to be shared directly with clients — turning analysis into a fact base you both work from, from first assessment through tracked progress.
From modernization roadmaps to M&A due diligence, Sigrid gives you a consistent, defensible data layer underneath the advice you give.
Sigrid gives you a fact-based view of a client's entire codebase — surfacing exactly where technical debt, architectural bottlenecks, and outdated components hold back modernization. Instead of relying on interviews or sampling, point to concrete metrics to prioritize which systems to modernize first, quantify the debt in cost terms, build a defensible business case, and track measurable progress as the work unfolds.
Sigrid gives clients a standardized, benchmarked view across their entire application landscape — making it possible to compare systems, spot risk concentrations, and make informed build-vs-buy or retire-vs-invest decisions. As their trusted advisor, use this shared data foundation to help clients shift resources from maintenance firefighting toward innovation.
As clients adopt AI coding assistants to speed up development, Sigrid gives you the data to guide them safely — continuously assessing AI-generated code for maintainability and security risks before it accumulates into technical debt. Deterministic, repeatable checks hold AI-generated code to the same standard as human-written code, independent of which tool produced it — positioning you as the advisor who helps clients capture AI's speed without inheriting its risk.
Sigrid provides independent technical due diligence for private equity and corporate M&A deals, assessing a target company's codebase for maintainability, technical debt, security risk, and architecture quality. This gives deal teams an objective risk signal alongside financial and legal due diligence — often surfacing issues that affect valuation or post-acquisition integration costs.
Sigrid evaluates software built or maintained by external vendors or outsourcing partners, giving clients independent assurance on code quality, security posture, and maintainability before or during a vendor relationship — common in procurement processes, vendor audits, and ongoing software escrow or governance arrangements.
The same three steps apply whether you're scoping a modernization roadmap or a due-diligence deadline.
Upload or connect the client's codebase; Sigrid produces a benchmarked rating within days, not weeks.
Walk the client through the findings using a shared report — and prioritize what to fix first, together.
Re-run the analysis as the work progresses, so improvement shows up as a number, not just a promise.
Talk to our partner team about integrating Sigrid into your consulting, due-diligence, or governance offering.
Partners get access to Sigrid for client engagements, along with guidance on where it fits into your advisory offering. Reach out to our partner team to discuss what a partnership would look like for your firm.
Strategy and IT advisory firms, M&A and due-diligence teams, and firms offering vendor or portfolio governance services use Sigrid — anywhere a client needs an objective view of a codebase to make a decision.
Yes — Sigrid's analysis is based on objective code metrics rather than any particular tool, vendor, or methodology, which is part of why advisors use it as a shared, independent fact base with clients.
Sigrid's checks are deterministic and repeatable — the same codebase produces the same rating every time — and benchmarked on a 1–5 star scale against 10,000+ industry systems, rebalanced yearly. That consistency is what lets a rating function as a shared, defensible fact base with a client, rather than a one-off judgment call.
Each client's codebase and results are kept separate and access-controlled; nothing from one engagement is visible in another. Ask our partner team for details relevant to your specific engagement setup.
