
Procurement Sciences
Awarded AI by Procurement Sciences is an end-to-end platform for US government contractors, covering opportunity search, bid/no-bid decisions, capture strategy, proposal drafting and compliance review, with FedRAMP Moderate, CMMC Level 2 and SOC 2 Type 2 credentials.
What is Procurement Sciences?
Procurement Sciences is a US software company founded in 2022 by Christian Ferreira, a Marine Corps veteran and former government contractor. Its registered address is in Dunstable, Massachusetts, with a stated presence in Washington DC. The flagship product, Awarded AI, is positioned as an AI-native operating system built for government contracting rather than a general assistant dressed up for the public sector.
The platform covers the full GovCon lifecycle through seven modules. AI Chat handles question answering, knowledge search and text generation. AI Draft produces proposal drafts, outlines and compliance matrices. AI Review runs automated compliance reviews against custom evaluation criteria. Bid Search finds and tracks opportunities. Pipeline follows business development through to award. Contacts holds relationship data. Datahub centralises company documents so every agent, workflow and chat session draws on the same institutional knowledge.
A second product sits under the same roof. HigherGov is a contracting intelligence platform covering opportunity search, RFIs, RFPs and RFQs, forecasts, recompetes, task orders, buyer and competitor intelligence, teaming partners, pricing and labour data, agency research and FOIA. The company frames the split plainly: HigherGov shows where to compete, Awarded AI automates how you win.
Named capabilities run across five stages of the cycle, including Smart Matching, natural language search, a Research Assistant, Opportunity Analysis, a Bid/No-Bid Calculator, PWIN enhancement recommendations, competitor analysis, win strategy and solutioning, compliance matrices, risk assessment, rapid drafting, draft review, score enhancement, rewriting tools, oral presentation preparation, debrief analysis, protest analysis and trend tracking.
The recurring design principle is human-in-the-loop: the AI executes, the team keeps strategy and differentiation. Outputs are grounded in the customer's own documents and past performance under single-tenant isolation, not in a generic model.
Traction claimed on the homepage includes 3,500+ contractors, close to half the Top 100 largest government contractors, over $100B in AI-assisted awards, 100M+ data points indexed and more than 100 employees. The company has raised over $40M, acquired Rogue AI in February 2026, and holds FedRAMP Moderate Authorization, CMMC Level 2 assessment and SOC 2 Type 2. Traction figures do vary from page to page across the site.
What it does
- Search and track federal, state, local, education and grant opportunities in one place
- Run bid/no-bid analysis in minutes using fit scoring and a dedicated calculator
- Draft full proposals, outlines and compliance matrices grounded in your past performance
- Automate compliance checking and structured colour reviews against evaluation criteria
- Build capture strategy with win themes, agency insight and PWIN recommendations
- Manage pipeline, contacts, teaming partners and contract handoff through to delivery
- Analyse competitors, pricing and labour data, debriefs and potential protest grounds
When to use Procurement Sciences / When not to
A quick filter to help you decide if Procurement Sciences is the right fit.
When to use Procurement Sciences
- Proposal, capture and business development teams at US federal, state, local and education contractors
- Defence contractors and CMMC Level 2 organisations handling CUI who need AI inside a compliant boundary
- Mid-market and enterprise GovCons running high proposal volumes, from roughly 25 pursuits a year upwards
- Small businesses, HUBZone firms and SDVOSBs that must compete on quality without a large bid and proposal staff
- Contract, compliance and pricing specialists who live in FAR clauses, compliance matrices, CPARS and recompetes
When not to use Procurement Sciences
- Companies with no US public sector business: the data, workflows and market coverage are entirely American
- Buyers who want to compare prices before talking to anyone, since no rate card is published anywhere on the site
- Teams looking for a free plan or a self-service trial, neither of which exists for the platform itself
- Organisations needing a non-English interface, a mobile app or a documented public API
- European organisations wanting EU data residency: everything is stored and processed in the United States
How to use Procurement Sciences
A typical end-to-end flow, from setup to results.
- Request a demo through the contact form, or use the dedicated free demo page, since there is no self-service sign-up
- Optionally start with the free AI Win Strategy report, generated by AI agents and delivered by email without a demo or a card
- Use the open ROI calculator to size the case internally: proposal volume, average contract value, burdened rate, win rate, dedicated FTEs
- Agree commercial terms with sales, as pricing is quoted rather than published
- Choose a deployment model: Azure Commercial Cloud, Azure Government Cloud, or customer-managed Kubernetes infrastructure
- Complete deployment with the vendor, capped in the terms at ten non-consecutive hours of vendor effort during business hours
- Connect enterprise identity through Microsoft Entra ID, Okta or another SAML 2.0 provider, with MFA required for all access
- Wire up document sources in the Datahub, with SharePoint syncing every 24 hours and Google Drive set up in minutes
- Install the Microsoft Word add-in so writers can draft, bulk-edit and receive evaluator-style comments in the document
- Lean on the adoption team, the in-app chat and support@procurementsciences.com, and consider the GovCon AI certification programme
Pros & Cons
Pros
- Genuine vertical depth: FAR, CPARS, evaluation criteria, task orders and protests are native concepts, not afterthoughts
- Compliance posture rare for a generative AI product: FedRAMP Moderate Authorization, CMMC Level 2 assessed, SOC 2 Type 2, plus inherited Azure controls
- Three deployment models, including customer-managed Kubernetes and an off-network option on isolated portable hardware
- No training on customer data, backed by zero-retention AI endpoints and single-tenant isolation
- One platform instead of stitched-together tools for search, drafting, compliance and pipeline
- Integrations with the tools teams already use: SharePoint, Google Drive, Microsoft Word and GSA eBuy
- Substantial security documentation and a continuously monitored Trust Center, alongside solid backing of over $40M raised
Cons
- No published pricing at all: budget is unknowable without a sales conversation
- No free plan and no documented free trial of the platform, and no self-service sign-up
- Strictly American scope, from markets and data to hosting and staff access restricted to US citizens
- English only, with no other interface or processing language announced
- No mobile app and no public API documentation, despite an Integrations & API navigation label
- Subprocessor lists, the SOC 2 Type II report and the penetration test summary are released on request only, never published
- Traction figures contradict each other between pages of the same site on the same day
Pricing & Plans
No pricing is published. Procurement Sciences sells by quotation: the pricing page carries no tiers, no rates and no starting point, only an opportunity-cost argument and a request form. There is no permanent free plan and no documented free trial of the platform. The only genuinely free offering is the AI Win Strategy report, advertised as requiring neither a demo nor a credit card. One figure circulates on the homepage, an estimated platform cost of $40K per year, but it is an output of the interactive ROI calculator driven by the visitor's own slider settings, not a published rate. Prospective buyers should expect a scoped quotation following a demo.
- No named plans or price tiers are published on the site
- Small Business
- Mid-Market
- Enterprise
- Primes
- Non-profits
- Federal
- SLED
- Defense
- IT Services
- Cybersecurity
- Healthcare
- Azure Commercial Cloud
- Azure Government Cloud
- Customer-Managed (on-premise or off-network)
Data, GDPR & hosting
A consolidated view of how Procurement Sciences handles your data.
GDPR overview
GDPR is addressed concretely but from a US vantage point. EU residents are granted access, rectification, erasure, portability, restriction, objection and the right to lodge a complaint with a supervisory authority, all exercised through privacy@procurementsciences.com. Transfers out of the EEA or Switzerland are stated to rely on European Commission approved Model Contractual Clauses, and cookie consent is offered where local law requires it, with essential cookies excluded. A Data Processing Agreement is listed among the documents available on request. Two gaps are worth naming: no Article 27 EU representative is designated anywhere, and no DPO is named. All data is transferred to and processed in the United States, and the policy places responsibility for local data protection obligations on the non-US user.
Who owns the data?
The terms are explicit that Procurement Sciences owns the platform itself: all rights, title and interest in the Services, together with patents, copyrights, trademarks, trade secrets and know-how, remain with the vendor. Customer content sits on the other side of that line. Each deployment runs on a single-tenant architecture with dedicated storage, and the homepage states that customer data stays fully isolated within the customer environment and is never blended or commingled across deployments. The vendor does reserve the right to store customer data in line with its records retention policies. For personal data collected through the website, the privacy policy names PROCUREMENT SCIENCES, INC., 362 River St., Dunstable, MA 01827 USA as the controller.
Reuse rights
Customer material stays with the customer: the vendor states that data is never blended, commingled or used to train public AI models, and that outputs are grounded in the customer's own documents and knowledge base. Cloud AI services used behind the scenes, named as Azure OpenAI, Gemini on Vertex and Anthropic, run on zero data retention configurations, so prompts and responses are not stored, logged or reused for training by those providers. Nothing in the terms restricts what a customer may do with the proposals, matrices and analyses it generates. One caveat sits on the marketing side rather than the product side: the privacy policy acknowledges that categories of personal information collected through the website have been sold or shared with analytics and advertising partners in the past twelve months.
Data retention & training
Hosting summary
All storage and processing takes place in the United States. Three environments are offered: Azure Commercial Cloud in US-based Microsoft data centres; Azure Government Cloud in dedicated US Government regions running on FedRAMP High authorised infrastructure, compatible with CUI and GCC High; and customer-managed Kubernetes infrastructure for strict residency or air-gapped requirements, with an off-network option on fully isolated portable hardware. The architecture is single-tenant, with dedicated storage accounts, network segmentation and isolated compute preventing cross-tenant access. Data is encrypted with AES-256 at rest and TLS 1.2 or higher in transit, aligned with FIPS 140-2 validated modules. Web application firewall protection, DDoS mitigation and intrusion detection come from Azure-native services, and Azure Virtual Network configurations isolate customer traffic. Microsoft controls inherited include ISO 27001, ISO 27017, ISO 27018 and SOC 1/2/3. A product FAQ adds that data sits in Azure CONUS data centres inside a VPC/VNet, accessible only to US citizens employed by the vendor.
Where Procurement Sciences works
Country-level availability.
Not available in
Things to keep in mind
Risks and trade-offs to weigh before adopting Procurement Sciences.
- Traction figures contradict each other across pages of the same site on the same day, so treat none of them as established fact
- With no published pricing, budget only becomes knowable after a sales process, which makes comparison shopping impossible
- Automated drafting invites over-reliance: proposals that read fluently can still miss the differentiation that actually wins, and reviewers may skim what the machine produced
- Compliance claims such as FedRAMP Moderate and CMMC Level 2 are asserted by the vendor without published authorisation numbers, so verify them directly before relying on them
- Subprocessor lists, the SOC 2 report and the penetration test summary are gated behind a request form rather than published
- The privacy policy concedes that website-collected personal information has been sold or shared with advertising partners, which is separate from platform data handling but worth knowing
- The terms impose individual arbitration, a class action waiver, exclusive Massachusetts jurisdiction and US export control representations
Setup & Integrations
Technical difficulty
Moderate, and never instant. There is no self-service sign-up: access begins with a demo request and a contract. The terms cap vendor deployment effort at ten non-consecutive hours during business hours, with a go-live date agreed after a technical discussion. Cloud deployments are the easy path, and connecting Google Drive is described as a three-step, few-minute setup. Customer-managed Kubernetes deployments require real infrastructure skills. Enterprise SSO through Entra ID, Okta or SAML 2.0 with mandatory MFA needs IT involvement. A dedicated adoption team, multi-format training and a GovCon AI certification programme are offered.
Deployment
Integrations
Behind Procurement Sciences
Fundraising
Social
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement Procurement Sciences.
Frequently asked questions
Is my data used to train AI models?
Can the platform be used for CUI and CMMC work?
Where is the data hosted?
What certifications does Procurement Sciences hold?
How much does it cost?
Is there a free trial or a free plan?
Which tools does it integrate with?
How are AI hallucinations handled?
Should you pick Procurement Sciences?
Procurement Sciences is a serious vertical tool for a narrow trade, and it should be judged as such. If your company sells to the US government, Awarded AI addresses the work as it is actually done: parsing solicitations, deciding what to chase, drafting against evaluation criteria, proving compliance, and carrying the result through to delivery and recompete. The claim that a general assistant does not know FAR or CPARS is fair, and the platform is built around that gap.
The distinctive strength is regulatory rather than technical. FedRAMP Moderate Authorization, CMMC Level 2 assessment and SOC 2 Type 2, combined with three deployment models running to customer-managed Kubernetes and isolated portable hardware, put this product in a category few generative AI vendors can enter. The stated position on training is unambiguous: customer data is never used, and AI endpoints are configured for zero retention.
The main weakness is commercial opacity. Nothing about price is public, there is no trial and no self-service path, so evaluation begins with a sales conversation and ends with a quotation. Buyers should also read the traction claims carefully, since the same site publishes materially different figures on different pages, and should note that subprocessor lists and audit reports are released only on request.
Relevance is entirely conditional on market. Outside US federal, state, local, education and grants work, the tool has no use: the data, the integrations, the hosting and even staff access are American by design. Within that market, the company looks established rather than experimental, with more than $40M raised since 2022, over a hundred employees and one acquisition behind it.
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