Questions, answered

Procenta is built for bid managers, capture managers, proposal teams, and business development leaders who respond to government, enterprise, or commercial IT opportunities. It supports teams of different sizes — from growing firms pursuing state and local opportunities to enterprise contractors managing multiple federal and commercial pursuits at the same time.

Most RFP-AI tools focus mainly on writing after a team has already decided to bid. Procenta starts earlier in the lifecycle. It helps you evaluate whether an opportunity is worth pursuing, where the risks are, what requirements may create delivery pressure, and whether your company has the right evidence to compete. Its recommendations are grounded in your company’s own knowledge — capabilities, past performance, certifications, team experience, and reusable content — so when it recommends Go, No-Go, or Review Further, it shows the reasoning behind that recommendation.

Yes. Procenta is designed to support federal, state, local, and commercial IT procurement workflows. The platform identifies procurement type and government level using signals such as FAR and DFARS clauses, state procurement codes, local procurement language, buyer type, funding source, and submission requirements. For commercial opportunities, Procenta is focused on IT-related procurements such as technology services, managed services, SaaS, professional services, and IT consulting engagements.

Yes. Procenta reviews the substance of the document, not only the title on the cover page. It analyzes submission instructions, evaluation criteria, award basis, required response format, pricing expectations, and buyer intent to determine what type of opportunity it is. That distinction matters: a full proposal effort may not be appropriate for an RFI, and a highly customized technical narrative may not add value in an ITB where the award is driven primarily by lowest price. Procenta helps teams focus effort where it actually improves the chance of winning.

Yes. Procenta identifies set-aside and small-business eligibility requirements during the intake and eligibility review. It can surface requirements related to 8(a), SDVOSB, WOSB, small-business status, subcontracting expectations, and certification-based eligibility. These findings are cross-checked against your company profile, certifications, and capability statements so gaps are visible before your team invests time in a full response.

Procenta flags federal pass-through funding when it appears in the procurement documents. This matters because a locally issued RFP may still include federal flow-down requirements if it is funded through a federal grant or subgrant. Procenta identifies those signals, highlights the funding source, and prompts your team to verify applicable federal requirements before moving forward.

Procenta is designed with strict evidentiary guardrails. If information is not found in the RFP, your knowledge base, or approved source material, the system marks it as unknown and highlights what needs to be verified. It does not invent agencies, certifications, financials, past performance, or compliance claims. Every major recommendation is traceable back to source evidence, so your team can review the basis for the answer instead of relying on a black-box conclusion.

Procenta is architected to be model-agnostic. The platform can run on leading frontier AI models from major commercial and enterprise providers. Enterprise customers can also configure deployments to route through their own private model environment, helping keep prompts, outputs, and sensitive procurement data within the customer’s controlled environment. As AI models improve, Procenta can update the underlying model layer without disrupting the procurement workflow your team relies on.

Your data lives inside a dedicated cloud environment designed for your organization’s requirements. RFPs, knowledge base content, structured analyses, generated responses, user activity, and identity data are kept in customer-controlled storage rather than a shared open pool. Data residency can also be configured by region, including the US, EU, Canada, and other supported geographies, depending on compliance and sovereignty needs.

No. Your RFPs, company knowledge, decisions, generated responses, and proposal content are not used to train AI models by Procenta or by underlying model providers. Model integrations are configured with retention and training disabled. For enterprise deployments using customer-private model environments, sensitive data can remain within the customer’s tenant boundary.

SOC 2 Type II is currently in progress. Additional compliance programs, including ISO 27001, HIPAA, FedRAMP Moderate, and CMMC Level 2, are on the roadmap based on enterprise customer requirements. Detailed security architecture, current audit posture, and roadmap timelines can be shared with qualified enterprise prospects under NDA.

Yes. Tenant-isolated deployment is available for enterprise customers. This can include customer-controlled cloud environments, customer-managed encryption keys, regional data residency, and dedicated deployment controls. Fully air-gapped or on-premise deployments for defense, intelligence, or highly restricted environments may be supported as bespoke enterprise engagements.

Enterprise single sign-on through Microsoft Entra ID is supported. Microsoft 365 integration — including document workspaces, calendar connectivity, collaboration workflows, and AI assistant connectivity — is on the active near-term roadmap. CRM and capture-management integrations, including Salesforce, Deltek, HubSpot, and Unanet, are supported through API and webhook connectivity, with native connectors planned for 2026.

Procenta is priced per user per month, with annual and enterprise tiers. Rather than an open-ended free trial, we run a structured pilot so you can evaluate against your real pipeline without runaway cost on either side:

• Small and mid-market teams

  Start with a guided pilot — a fixed allowance of RFP analyses through Procenta with our team alongside yours, so you can see real output quality, throughput, and ROI before any commitment.

• Enterprise customers

  Start with a scoped onboarding engagement — custom knowledge base ingestion, role and team configuration, integration setup, and a defined evaluation window built into the engagement. No self-serve trial; the implementation IS the evaluation.