SaaS100 Studio is a product engineering partner helping founders and businesses build AI products, SaaS platforms, custom software, enterprise applications, and automation solutions.
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Products shipped
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Countries served
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Client retention
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Capabilities
Eleven disciplines working as one system — from first strategy doc to production infrastructure.
Positioning, roadmap, and prioritization frameworks that turn ambiguity into a build-ready plan.
strategyInterface systems engineered for clarity — wireframes to pixel-perfect, motion-ready design systems.
designFull-stack builds on modern frameworks with clean architecture, testing, and CI/CD from day one.
engineeringLLM integrations, RAG pipelines, agentic workflows, and custom model fine-tuning for real products.
aiNative and cross-platform apps with offline-first architecture and App Store-ready polish.
mobileMulti-tenant architecture, billing, auth, and admin tooling built to scale from zero to enterprise.
saasCustom internal tools and automation pipelines that remove manual work from operating teams.
automationMission-critical systems built with compliance, security, and long-term maintainability in mind.
enterpriseReliable connective tissue between your product and the third-party services it depends on.
integrationsProvisioned, observable infrastructure on AWS, GCP, and Vercel — built for uptime and cost efficiency.
infraArchitecture reviews, technical due diligence, and fractional CTO support for critical decisions.
consultingHow We Build
No surprises, no scope creep. Every engagement moves through the same disciplined pipeline.
Week 1–2
We map the problem space, users, and business constraints — leaving with a validated product brief and technical scope.
Week 2–4
Wireframes evolve into a full design system and interactive prototype, stress-tested against real user flows.
Week 4–10
Engineering sprints ship in weekly increments with continuous deploys, code review, and staging environments.
Ongoing
We monitor, optimize, and extend the product post-launch — infrastructure, performance, and roadmap included.
Selected Work
A closer look at how three products moved from problem to production.
Turning a research prototype into a production AI platform.
Challenge
Atlas AI had a promising internal model but no product wrapped around it — no auth, billing, multi-tenancy, or reliable inference layer.
Outcome
Shipped a production SaaS platform with usage-based billing, an inference queue handling 2M+ requests/month, and a self-serve onboarding flow.
11 weeks
Time to launch
-64%
Inference latency
2M+
Monthly requests
Rebuilding a legacy finance tool for enterprise scale.
Challenge
A five-year-old monolith was blocking Ledgerly's enterprise deals — no audit trails, poor performance under load, and a design that felt dated.
Outcome
Re-architected into a modular platform with SOC 2-ready audit logging, sub-200ms report generation, and a redesigned interface that closed three enterprise deals within a quarter.
-78%
Report generation
3 in Q1
Enterprise deals closed
99.98%
Uptime
Automating 40 hours a week of manual operations work.
Challenge
Fieldwork's ops team was manually reconciling data across six tools every week, introducing errors and consuming a full-time role's worth of hours.
Outcome
Built a custom automation layer connecting their CRM, billing, and field systems — reducing manual reconciliation from 40 hours to under 2 hours weekly.
38/week
Manual hours saved
-92%
Data error rate
6
Systems integrated
Why SaaS100
We measure ourselves the same way our clients measure their own products: quality, speed, and trust.
Clean architecture, test coverage, and code review on every pull request — built to be maintained, not just shipped.
Weekly increments, transparent sprint velocity, and a bias toward shipping working software over long planning cycles.
We evaluate where AI genuinely improves your product — and where it doesn't — before writing a line of code.
The velocity of a founding engineer with the rigor of a platform team: monitoring, security, and uptime built in.
Weekly demos, shared roadmaps, and direct access to the engineers building your product — no account managers.
Most engagements extend well past launch. We think in product lifecycles, not billable hours.
SaaS100 operated like an internal team from week one. They understood the product roadmap better than some of our own hires did.
Priya Nair
Founder, Atlas AI
We handed them a legacy system nobody wanted to touch. They rebuilt it without a single week of downtime and documented everything.
Marcus Bell
VP Engineering, Ledgerly
What stood out wasn't the code — it was the judgment. They pushed back on scope that didn't serve the business.
Sara Kim
COO, Fieldwork
Technology Ecosystem
Languages & Frameworks
AI & Models
Data & Infrastructure
Tooling & Delivery
Partnership Models
Whether you're pre-seed or scaling an agency roster, we adapt to how you already operate.
We plug in as your technical co-founder function — owning architecture, engineering, and delivery so you can focus on customers and fundraising.
We work under your brand to deliver production engineering for your clients — quietly, reliably, and to your quality bar.
Insights
Occasional writing on product, engineering, and building AI-native software.
Let’s build something great
Book a 30-minute strategy call. We’ll talk through your product, scope, and whether we’re the right fit — no pitch decks required.