SaaS Development Company
Multi-tenant platforms engineered to hold paying customers, built by the engineers you actually talk to.
AlphaCorp AI is a SaaS development company: an AI engineering studio that designs, builds, and secures multi-tenant, subscription-delivered software under the cloud model NIST formalized in SP 800-145. We handle the decisions that determine whether a SaaS product survives scale (tenant isolation, API-first service boundaries, CI/CD, and the compliance stack that comes with holding customer data) for mid-to-large companies in healthcare, financial services, and logistics. Our remote-first team builds on US Eastern hours in English, Portuguese, and Spanish.
Creators of RustyRAG
Realtime RAG, built in Rust · Sub-200ms end-to-end
10+ years delivering AI solutionsIgnas Vaitukaitis · Founder & CEO
VersarWashington, DC
GynisusNew York
CampusReelNew York
LuniqGermany
HospitalityFlowSingapore
Why teams hire a SaaS development company in 2026
The demand side is measured. The build side is harder than the pitch decks admit. Three numbers frame the decision, and your architecture decides how exposed you are to the third.
The Stack We Ship On
We pick the best tool for each job, not the trendiest. This is what runs behind the agents, retrieval pipelines and automation we put into production.
AWS
AzureHow an AlphaCorp AI SaaS development engagement runs
An engagement moves through four stages, each ending in a decision you can hold us to.
Why invest in a SaaS development company
The return is avoided rework. These four failure modes are expensive to fix after customers arrive.
Why AlphaCorp AI as your SaaS development company
Three things distinguish us, and one honest limit.
Builders on the call. The people you talk to are the people who build. No handoff to an offshore bench after the contract signs.
Shipped proof. RustyRAG runs in production with sub-200ms retrieval. We publish our infrastructure instead of describing it.
Straight talk on AI tooling. Experienced developers using early-2025 AI coding tools took 19% longer on real tasks in mature codebases in METR's July 2025 randomized controlled trial, while believing they had sped up 20%. We use assistants where they measurably help and never quote you a timeline that assumes magic.
The limit. We argue for the cheaper architecture when it fits. Most products should start on shared schema with PostgreSQL row-level security and graduate later. Teams wanting database-per-tenant everywhere from day one will find us pushing back.
One pattern from replatforming work: authorization that checks the user's role but never the object's tenant. It passes every unit test. It fails the first penetration test.
Security and compliance in AlphaCorp AI SaaS development
Running SaaS means operational custody of customer data, so we build compliance into the architecture from the start. We design against the OWASP API Security Top 10, including Broken Authentication and Server-Side Request Forgery alongside tenant-level authorization. For enterprise buyers, we structure security posture around NIST Cybersecurity Framework 2.0 (February 2024), including its Govern function.
Regulated data changes the design. Under HHS guidance, a SaaS platform touching protected health information is a HIPAA business associate even if it never views the data, and needs a Business Associate Agreement. EU personal data brings GDPR processor obligations, where your customers stay accountable to regulators and you must show sufficient technical safeguards. Federal buyers add FedRAMP, where the GSA's FedRAMP 20x overhaul, announced March 2025, is pushing authorization from 12 to 18 months toward weeks via machine-readable evidence. We tell you which of these applies before a line of code is written.
You now know how we would build it: isolation chosen deliberately, APIs first, pipeline before features, compliance from day one. The demo is easy. We build what comes after.