Legacy System Modernization Company in San Francisco

QServices is a remote-first software consultancy based in India. We work with San Francisco companies in Tech, FinTech, SaaS, and Biotech on legacy system modernization with roughly two hours of daily overlap during PT morning hours. We are not headquartered in San Francisco.

What San Francisco buyers typically need from legacy modernization

San Francisco companies across Tech, FinTech, SaaS, and Biotech share a common pattern: systems built during a fast growth phase that now block the next one. The pressure varies by industry:

• SaaS companies needing to decompose monolithic codebases before they can scale to the next product tier or pass enterprise security reviews.
• FinTech companies running transaction processing or risk logic on pre-2015 .NET stacks, where adding CCPA/CPRA audit trails and deletion workflows requires rewriting core modules, not patching them.
• Biotech companies with data management systems predating cloud-native architectures, now requiring regulatory-grade data integrity and auditability.
• Tech companies carrying two or three incompatible codebases in production after acquisitions or mergers.

CCPA/CPRA is a practical forcing function here. Systems built before 2018 often lack the data inventory and subject-request handling that the California Privacy Protection Agency now enforces. For SF companies handling California consumer records, modernization is frequently the only way to build those capabilities into the architecture correctly rather than layering workarounds on an aging codebase.

How we work with San Francisco clients

India Standard Time is 12.5 hours ahead of Pacific Daylight Time (12 hours ahead during PST in winter). Our team reserves 7:30pm-9pm IST daily, which maps to 9am-10:30am PT. That window covers sprint reviews, stakeholder demos, and live decision calls. Outside it, work runs async.

Before signing off each evening IST, we post a written progress summary and flag any pull requests waiting for input. Your team starts the day with a clear status update. We use GitHub for all code reviews with context notes on every PR, so your engineers can respond at their own pace. Milestone reviews at the end of each delivery phase are 90-minute video calls over Microsoft Teams or Slack.

On-site visits to San Francisco are available for project kickoff or major architecture decisions, though most clients have not needed them. The scoping document we send before starting spells out the exact communication cadence, escalation path, and review schedule for your engagement.

Relevant work in similar markets

Our closest reference for SF FinTech work is a stock analytics platform we built for an investment management company. We replaced a scattered spreadsheet-and-manual-process system with a role-authenticated Azure dashboard, automated scraping, and real-time financial metrics including P/E ratios and earnings schedule tracking across XLF, XLV, and XLY sector classifications. The core technical challenge was migrating from ASP.NET MVC to .NET Core while preserving data integrity in the classification logic with no regression. That migration pattern applies directly to SF FinTech systems where business rules are encoded in legacy .NET code and must move with the rewrite, not be rewritten from memory.

We also completed a VB.NET-to-.NET 8 migration for a global EHS software company: a compliance-focused monolith managing incident tracking, Management of Change workflows, LMS training, and automated scheduling, decomposed into a .NET 8 and React platform on Azure. The data-integrity migration work in that engagement, where regulatory rules had to move with the code rather than be reconstructed from scratch, mirrors what SF Biotech and FinTech systems face when compliance logic is embedded deep in legacy code.

We do not have a publicly named San Francisco client. References from the engagements above are available on request. For FinTech-specific scope considerations, see our legacy modernization for FinTech page.

What legacy modernization costs for a typical San Francisco project

All engagements are quoted and invoiced in USD. Typical legacy modernization for an SF company runs $60,000 to $500,000 depending on codebase size, integration surface, and compliance scope:

• Small scope ($8,000-$30,000): Single-service extraction or API gateway layer addition, 200-600 hours. Suitable for isolating one bounded context from a monolith.
• Large scope ($30,000-$120,000): Multi-service decomposition or full-service rewrite using strangler-fig pattern, 600-2,000 hours.
• Platform scope ($120,000-$400,000): Full legacy replacement with .NET 8, Azure, Docker, and API gateway, 2,000-6,000 hours. Typical timeline: 16-52 weeks.

CCPA/CPRA compliance engineering adds 15-25% to any project touching California consumer records. Each non-trivial third-party integration (payment processors, CRM, legacy ERP) adds $3,000-$12,000. Full pricing detail is on our legacy modernization cost page.

How to start working with us

Three steps: (1) Book a 45-minute discovery call where we cover your current stack, the specific failure modes you are experiencing, and your timeline constraints. (2) We send a scoping document within five business days covering architecture approach, team composition, and a fixed-range cost estimate. (3) We agree on Phase 1 scope and begin. Most projects start within three weeks of the first call.

Can you work with San Francisco companies remotely?

Yes. All engagements are remote. IST is 12.5 hours ahead of PDT, so our evening (7:30pm-9pm IST) aligns with SF morning (9am-10:30am PDT). We use Microsoft Teams or Slack for daily communication and GitHub for code review. For California clients, all data processed under CCPA/CPRA is scoped to Azure US-West-2 with US-only data residency. Personal data is not routed through India-based infrastructure. No San Francisco office is needed to run this work.