IT Support for Startups That Need to Scale, Comply, and Ship

Between seed stage and Series A, startups build fast and worry about governance later. That approach works when customers are other startups and the biggest deal on the table is $20,000 in annual recurring revenue. It stops working the moment a Fortune 500 procurement team asks to see your SOC 2 Type II report, your penetration test results, your data processing addendum, and your vendor risk questionnaire. That moment arrives for most B2B SaaS companies somewhere between the Series A close and the Series B close, and the companies that are not prepared lose deals that take six months to recover.

The compliance gap is the distance between where a startup's security and governance practices are today and where they need to be to close enterprise contracts, pass investor due diligence, and satisfy regulatory requirements. For the average Series B startup, this gap includes missing or incomplete security policies, no formal access control framework, no centralized logging or monitoring, no incident response plan that has been tested, no business continuity documentation, and no evidence that any of these controls have been operating effectively over time. Closing this gap with internal resources alone typically takes 6 to 12 months and requires hiring at least one full-time compliance specialist, one security engineer, and, often, a virtual CISO. The total cost in salaries, tooling, and opportunity cost regularly exceeds $400,000 in the first year.

PTG exists to close this gap in 90 days instead of 12 months. We bring the policies, the technical controls, the monitoring infrastructure, and the audit preparation experience that a startup needs to achieve SOC 2 compliance, satisfy enterprise procurement teams, and present a defensible security posture to investors. Our compliance-as-a-service model means you pay a predictable monthly fee instead of hiring a compliance team, purchasing a dozen SaaS tools, and spending months figuring out how everything fits together.

The compliance gap is not just a risk. It is a revenue problem. Every week that your SOC 2 report is missing is a week that your sales team cannot close enterprise deals. Every month without a formal security program is a month that your investors question whether the company is ready for the next funding round. PTG understands the urgency because we have helped hundreds of companies move from zero compliance documentation to audit-ready status within a single quarter.

Most startup IT decisions are made reactively. A prospect asks for your SOC 2 report and you scramble. A board member asks about your AI strategy and you improvise. A security incident occurs and you discover your MSP was running default configurations. PTG works with startups proactively, building the infrastructure and compliance posture that Series C investors and enterprise customers expect to see.

We run our own private AI infrastructure: a 96-core AMD EPYC server with 288GB VRAM across three NVIDIA RTX PRO 6000 GPUs, RTX 5090 workstations, and DGX Spark clusters. We build the same systems for our startup clients that we use ourselves. When we recommend a private AI deployment, it is because we operate one daily, not because we read a whitepaper about it. When we advise on the true cost of Microsoft Copilot versus a private alternative, our Copilot Cost Calculator is built from first-hand operational data.

Craig Petronella, our founder and CEO, holds CMMC Registered Practitioner (CMMC-RP) and CMMC Certified Assessor (CMMC-CCA) credentials. He has authored 15 published books on cybersecurity, compliance, and AI. With 24+ years of experience and 2,500+ clients served, PTG brings the depth of a specialized firm with the breadth of a full-service technology partner.

We are not a compliance SaaS tool that leaves you to implement controls yourself. We are not a generic MSP that treats compliance as an upsell. We are not a Big 4 consultancy that charges $400/hour for a junior analyst. We are a hands-on technology partner that builds, implements, and manages the IT, security, compliance, and AI infrastructure that scaling startups require.

The distinction matters because startups at the Series B stage cannot afford to get this wrong. A failed SOC 2 audit delays enterprise deals by quarters, not weeks. A data breach during due diligence can kill a funding round entirely. An AI strategy that depends on third-party SaaS vendors leaves you with no proprietary advantage and escalating costs that erode unit economics. PTG helps startups avoid all three of these outcomes by building the right foundation from the start, not patching together temporary fixes that create technical debt and compliance gaps down the road.

Every board deck in 2026 includes an AI slide. The question investors ask is not whether your startup uses AI, but whether your AI creates a defensible advantage or just consumes SaaS budget. The difference between these two outcomes is infrastructure ownership. A startup that relies entirely on OpenAI, Microsoft Copilot, or Google Gemini for its AI capabilities has no proprietary data advantage, no control over model behavior, escalating per-seat costs, and complete dependency on a vendor whose pricing and terms can change without notice.

PTG builds private AI infrastructure that gives startups a fundamentally different position. Your internal data, including customer interactions, support tickets, product usage patterns, and domain-specific knowledge, trains models that run on your infrastructure. These models become smarter about your business over time, and that accumulated intelligence stays with you, not with a SaaS vendor. The result is AI capabilities that no competitor can replicate simply by signing up for the same subscription service.

The economics are equally compelling. A 50-person startup paying $30 per user per month for Microsoft Copilot spends $18,000 per year. At 100 users, that figure reaches $36,000 annually, and it continues to grow linearly with every hire. A private AI deployment has a fixed infrastructure cost that does not increase with headcount. Visit our Copilot Cost Calculator page to model the exact savings for your team size and usage patterns.

Compliance is the third advantage. SaaS AI tools send your data to external servers for processing, which creates immediate complications for companies handling protected health information, controlled unclassified information, or customer data governed by GDPR or CCPA. A private AI deployment processes everything on infrastructure you control, eliminating the third-party risk that auditors and enterprise customers scrutinize. PTG designs every AI solution with SOC 2, HIPAA, and CMMC compliance requirements built into the architecture from the first day.