SaaS Development Company in Columbus

Two levers dominate: how deep the multi-tenancy goes and how much compliance the first enterprise customer drags in. A focused SaaS MVP covering multi-tenant architecture, authentication, one billing integration, an admin console, and the first revenue-generating workflow typically runs USD 90,000 to 200,000 over twelve to eighteen weeks. A mid-stage platform adding enterprise SSO and SCIM, granular role-based access control, audit logging, data export and import, and three to five substantial modules typically runs USD 200,000 to 450,000. An enterprise-grade platform with HIPAA or GLBA scope, multi-region deployment, usage metering with mid-cycle proration, white-label tenancy, and SOC 2 Type 2 readiness runs USD 450,000 to 1,000,000 and up, and the timeline stretches to twenty-four to forty weeks mostly because security review and procurement at a Nationwide-scale or health-system-scale buyer take real calendar time. On rates, Columbus product engineering typically prices roughly 30 to 45 percent under San Francisco and New York and a little over smaller Midwest metros, because the large employers here bid against you for the same candidates. Codazz quotes fixed fee in USD against a signed statement of work rather than open-ended time and materials.

We treat it as a contract question first and an engineering question second, because your Columbus enterprise buyers will tell you what they need in the security questionnaire. Shared schema with Postgres row-level security is our default for B2B SaaS with tens to thousands of tenants: policies are enforced at the database so an application bug cannot leak across tenants, migrations are single-pass, and operations stay simple. Schema per tenant makes sense when tenants need materially different data retention, when large tenants need independent backup and restore, or when a customer contract requires logical separation you can point at during an audit. Database per tenant is reserved for cases where a contract or a regulator requires physical separation, or where one whale tenant would otherwise dictate the performance profile for everyone, and we go in with eyes open about the operational cost of running hundreds of databases. Whatever we pick, we write down the tenancy model, the blast-radius analysis, the noisy-neighbour mitigations, and the migration path to a stricter model, and we test cross-tenant isolation in CI with a suite that tries to break it on every pull request.

Ohio has not enacted one. Two attempts at an Ohio Personal Privacy Act, House Bill 376 in the 134th General Assembly and House Bill 345 in the 135th, both stalled in House committee. That does not reduce your obligations, it just moves them. Your customers and their end users live in states that do have comprehensive laws, so a Columbus SaaS selling nationally needs the same capabilities: a data inventory, purpose limitation, consumer rights handling for access, correction, deletion, and portability, opt-out of targeted advertising and sale where applicable, recognition of universal opt-out signals such as Global Privacy Control, sensitive-data consent, and data protection assessments for high-risk processing. Build those as tenant-configurable features rather than one-off patches, because different customers will point at different statutes. Ohio does impose its own breach duty: Ohio Revised Code 1349.19 requires disclosure in the most expedient time possible and no later than forty-five days after discovery, with an exemption for federally examined financial institutions. We wire deletion so it propagates into backups policy, search indexes, analytics, and any derived data store, since partial deletion is the finding that shows up in every audit.

Think of it as litigation insurance you have already half paid for. Ohio Revised Code Chapter 1354, in force since November 2, 2018, offers an affirmative defense to tort claims alleging you failed to implement reasonable security, provided you maintain a written cybersecurity program that reasonably conforms to one of the frameworks the statute names. For a SaaS company the leverage is that the anchor framework is a choice, and the right choice makes one body of work do three jobs: the SOC 2 report your enterprise buyer demands, the answers procurement scores in the security questionnaire, and the statutory defense. Pick the NIST Cybersecurity Framework and the overlap with SOC 2 is high enough that you are largely writing one program rather than two. The failure modes we are called in to fix are specific. Companies scope the program to the corporate network and leave the product itself, the tenant data plane, the CI pipeline, the subprocessors, outside it, which is exactly where a plaintiff will look. Or the program is a document nobody operates, and conformance cannot be evidenced when it matters. We scope the platform into the program during the build and keep the evidence continuous, so the defense is available rather than theoretical.

Assume a security review before a signature and build for it. For insurance licensees the Ohio Insurance Data Security Law in Ohio Revised Code Chapter 3965, effective March 20, 2019, requires the licensee to exercise due diligence over third-party service providers, which means you inherit their program: expect questions on access control, encryption at rest and in transit, annual assessment, incident response, and personnel training, and expect a contractual obligation to support their notification duty, since Section 3965.04 gives them three business days to notify the Superintendent of Insurance after determining a reportable event occurred. For banks, GLBA safeguards and FFIEC third-party guidance drive similar scrutiny plus business continuity evidence. For health systems, a business associate agreement, minimum-necessary access, breach notification terms, and audit-log access are the baseline, and larger systems increasingly ask for HITRUST or SOC 2 Type 2. Practically, we build the platform so the answers are features rather than promises: per-tenant encryption key scoping, exportable immutable audit logs, configurable retention and deletion, subprocessor transparency, SSO and SCIM, and an incident runbook with your customer notification obligations written into it.

We default to Stripe Billing because it covers most subscription patterns without custom code: tiered and per-seat pricing, usage-based metering, mid-cycle proration, trials, coupons, dunning, and revenue recognition. Where enterprise contracts get unusual, meaning annual prepay with quarterly true-up, custom net terms, multi-entity invoicing, or negotiated volume tiers, we layer Maxio or Recurly and keep Stripe as the payment rail so PCI scope stays with the processor. Usage metering is the part teams underestimate: we build the event pipeline to be idempotent, replayable, and reconcilable against the invoice, because the first billing dispute with a large customer is won or lost on whether you can reproduce the number. On tax, Ohio treats certain computer and electronic information services provided for use in business as taxable, and rules differ by state and by how your product is characterized, so we wire tax determination into billing through Stripe Tax or Avalara and connect it to your accountant's determination rather than hard-coding an assumption. Nexus rules change as you grow, so the calculation has to be a service, not a constant.