AI AutomationSaaS Platform
Workflow platform cuts manual operations by 62%
An operations platform that removed 62% of manual steps and tripled approval speed within 90 days.
3.4X faster approval cycles in 90 daysRead Case StudyProof of practical software outcomes.
Explore SaaS, MVP, CRM, AI automation, web, mobile, and QA work shaped around measurable business results.
Selected work across product and operations teams.
Each case study is framed around the business challenge, the system Zeoark built, and the result the client needed to see.
CRM DeliveryIntegrations
CRM rebuild lifts pipeline velocity by 38%
A CRM rebuild that raised pipeline velocity 38% and doubled qualified leads per representative.
2.1X more qualified leads per rep in 6 monthsRead Case StudyMVP BuildE Commerce
Multi-tenant MVP reached 5,000 users in 14 weeks
A multi-tenant MVP that went from discovery to public launch in 14 weeks and reached 5,000 active users.
14 weeks from discovery to public launchRead Case Study
Project Inquiry
Ready to build your SaaS, MVP, or AI-powered software?
Share your product idea, business workflow, CRM need, web app, mobile app, or automation goal. We will review the scope, constraints, timeline, and next steps before the first call.
48h
MVP roadmap response
NDA
Friendly & Confidential Process
- SaaS, MVP, AI, CRM, web application, mobile app, and automation builds
- Clear discovery, feature scope, estimate, QA plan, and delivery roadmap
- Email us directly at hello@zeoark.com
FAQ’s
Find answers about SaaS application development, MVP delivery, AI integrations, CRM development, mobile apps, QA, and ongoing support.
We build SaaS platforms, MVPs, custom business software, CRM systems, web applications, and mobile apps — plus the AI features and integrations that sit inside them. Most engagements also include architecture, QA, and deployment rather than code alone.
Fintech, healthcare, logistics, e commerce, professional services, and B2B software teams. The domain changes; the delivery pattern — discovery, architecture, sprints, launch — stays the same.
Yes. When an off-the-shelf tool forces your team to work around it, we build the system around your workflow instead — internal tools, customer portals, automation layers, and integrations with what you already run.
A focused MVP typically ships in 8–14 weeks, and a multi-tenant SaaS core in 12–20. We start by cutting scope to what proves the product, then add modules once real users are on it.
We map the specific decisions or manual steps AI should take over, then build around them: retrieval over your own data, model selection, evaluation, guardrails, and a fallback path for when the model is unsure.
QA runs inside each sprint, not after it — automated test suites, code review, staging demos, load and security checks before release, and regression runs on every deploy.
Yes — monitoring, incident response, dependency and security updates, performance tuning, and a monthly roadmap block for new features. Engagements are monthly retainers or per-sprint, whichever fits your stage.