The Quantitative Intelligence
Engine Behind Your Wins
Aliff continuously collects procurement data from 18+ government sources, applies pattern recognition and statistical modeling, and delivers four proprietary outputs no other platform offers: recompete predictions, incumbent vulnerability scores, optimal pricing bands, and win probability analysis.
What Makes Aliff Different From Other GovCon Platforms?
Most government contracting platforms aggregate publicly available data. Aliff applies quantitative analysis to that data to produce four proprietary intelligence outputs — capabilities that no competitor currently offers.
Competitors guess. Aliff calculates.
Predict When Contracts Will Rebid
6 to 24 Months EarlyAliff’s recompete prediction engine analyzes contract timelines, modification histories, and agency acquisition forecasts to identify contracts approaching rebid before the competition learns they exist.
Data Sources
- USAspending award data (contract end dates)
- FPDS contract modifications (extensions, option exercises)
- Historical recompete timelines by agency
- Budget justification documents
- Agency acquisition forecasts
Output
- Recompete Calendar: contracts ending in 6–24 months
- Confidence Score: High / Medium / Low
- Recommended Action: Monitor / Engage / Capture Now
- Timeline to expected RFP release
Score Incumbent Weaknesses
0–100 Displacement PotentialNot every contract holder deserves to keep their seat. Aliff’s incumbent vulnerability model evaluates performance trajectory, modification history, protest records, and organizational stability to generate a displacement potential score.
Data Sources
- Past performance ratings (CPARS where available)
- Contract modification history (scope changes, cost overruns)
- Protest history (GAO, Court of Federal Claims)
- News and press (layoffs, leadership changes)
- Financial indicators (for public companies)
Output
- Vulnerability Score: 0–100 (higher = more vulnerable)
- Key Weaknesses: ranked list
- Displacement Strategy: recommendations
- Win Themes to Leverage: specific themes
Price to Win, Not to Guess
Competitive Price Ranges with Confidence IntervalsAliff’s pricing intelligence engine benchmarks your bid against historical award values, GSA pricing data, labor category rates by region, and competitor pricing patterns to produce recommended price ranges.
Data Sources
- USAspending award values by NAICS/PSC
- GSA pricing data (where available)
- Labor category rates by region
- Historical win/loss pricing patterns
- Competitor pricing intelligence
Output
- Recommended Price Range with confidence interval
- Price-to-Win Target
- Risk Assessment: Aggressive / Competitive / Conservative
- Pricing Rationale: written explanation
GO/NO-GO Decisions Backed by Data
Multi-Factor Win Probability ScoringBefore you invest thousands in a pursuit, Aliff’s win probability engine scores your chances across 8 weighted factors and produces a data-driven recommendation for every opportunity.
Data Sources
- Technical capability match (0–100)
- Past performance relevance (0–100)
- Incumbent vulnerability (0–100)
- Pricing position (0–100)
- Set-aside eligibility, customer relationship, teaming strength, competitive landscape density
Output
- Win Probability Score (percentage)
- GO/NO-GO Recommendation: PURSUE or PASS
- Ranked Strengths with scores
- Critical Gaps with mitigation strategies
How Does Aliff's Intelligence Platform Work?
Aliff's intelligence engine operates in five continuous stages — from data collection to decision support. Each stage runs on automated schedules so your team always has current intelligence without manual research.
Collect
Aliff ingests data from 18+ government sources on automated schedules, including SAM.gov, USAspending, FPDS, GSA, state procurement portals, cooperative purchasing platforms, and competitive intelligence feeds.
Clean
Raw data passes through entity resolution, deduplication, and normalization. Companies are matched across sources using UEI, CAGE, and DUNS identifiers. Fields, dates, and NAICS codes are standardized.
Analyze
Cleaned data feeds into Aliff’s proprietary scoring models — recompete prediction, incumbent vulnerability assessment, pricing analysis, and win probability calculation.
Score
Every opportunity in your pipeline receives quantitative scores across the four intelligence dimensions. Scores update as new data becomes available.
Deliver
Results surface in your Aliff Labs dashboard, through automated email alerts, in the Aliff chat interface, and in exportable intelligence reports.
Where Does Aliff Get Its Data?
Aliff's intelligence is only as good as its data. The research engine is designed to continuously monitor three layers of government procurement data — federal, state and local, and competitive intelligence — to build the most comprehensive picture of the market available.
Most GovCon platforms focus exclusively on federal procurement. Aliff is designed to cover both the $755B federal market and the $1.5T+ state, local, and education market — the full $2.25 trillion government contracting landscape.
Federal Sources
- SAM.gov
Solicitations, entity data, awards
- USAspending.gov
Historical award data, spending analysis
- FPDS
Contract actions, modifications, options
- GSA CALC / eLibrary
Awarded labor rates, schedule pricing
- Acquisition Forecasts
Agency planned procurements
- Budget Data
Appropriations, budget projections
SLED Sources
- State Portals
Procurement portals across all 50 states
- City & County
Metropolitan area procurement
- Cooperatives
NASPO ValuePoint, Sourcewell, OMNIA
- E-Rate (USAC)
K-12 and library technology procurement
- Higher Education
University procurement offices
- Municipal Platforms
BidSync, PlanetBids, and similar
Intelligence Sources
- GAO Protests
Protest decisions, patterns, outcomes
- Subcontracts
Prime-sub relationships (FSRS)
- News & Press
M&A activity, leadership changes
- SEC Filings
Public contractor financials (EDGAR)
- Personnel Intel
Leadership changes, stability indicators
- FOIA Tracking
Request status, document availability
Aliff's research engine is designed to monitor 18+ procurement data sources across three intelligence layers. During the initial platform release, federal sources and select SLED portals are prioritized, with full coverage expanding quarterly. Market size figures based on publicly available spending data.
Ten Specialized Intelligence Modules
Each module in Aliff's analysis engine is purpose-built for a specific domain of government contracting. They work independently on their specialized tasks and share intelligence across the platform to produce comprehensive, multi-dimensional analysis.
Intelligence & Discovery
Continuous monitoring and market surveillance
Opportunity Scout
Monitors SAM.gov, USAspending, state procurement portals, and cooperative purchasing platforms on automated schedules. Surfaces opportunities matched to your NAICS codes, past performance, and capability profile.
Competitive Intelligence
Builds competitive profiles by analyzing incumbent contract history, pricing patterns, GAO protest records, and organizational stability indicators. Identifies competitive landscape density for each opportunity.
Market Forecasting
Forecasts potential spending patterns based on agency budget cycles, congressional appropriations, and historical procurement data. Designed to identify emerging market opportunities before formal solicitations are released.
Quantitative Analysis
The Four Pillar Engines — capabilities no other platform offers
Recompete Predictor
Analyzes contract end dates, modification histories, extension patterns, and agency acquisition forecasts to identify contracts approaching rebid. Designed to surface recompete opportunities 6 to 24 months before formal RFP release.
Incumbent Vulnerability Scorer
Evaluates incumbent performance trajectory, contract modification history, protest records, and organizational stability to generate a 0–100 displacement potential score. Surfaces specific weaknesses and recommends displacement strategies.
Pricing Intelligence
Calculates optimal pricing bands using USAspending award data, GSA rates, labor category benchmarks by region, and historical win/loss pricing patterns. Outputs include competitive, aggressive, and conservative price ranges with confidence intervals.
Win Probability Engine
Scores win probability across 8 weighted factors including technical capability match, past performance relevance, incumbent vulnerability, pricing position, and competitive landscape density. Produces GO/NO-GO recommendations with investment guidance.
Proposal & Deliverables
Compliance, drafting, and intelligence reporting
Compliance Analysis
Scans RFPs for FAR/DFARS clause requirements, maps Section L/M evaluation criteria, and generates compliance matrices. Designed to identify compliance gaps and flag unusual or high-risk clauses before submission.
Proposal Intelligence
Generates proposal outlines, storyboards, and initial draft sections based on RFP requirements and historical solicitation patterns. Designed to accelerate the shred-to-draft process with compliance-aware starting points.
Report & Brief Generation
Produces intelligence reports, capture briefing decks, and market analysis briefs. Designed to deliver client-ready, branded deliverables exportable as PDF.
How Does Aliff Protect Sensitive Procurement Data?
Government contracting involves sensitive competitive intelligence. Aliff's security architecture is designed for the security expectations of the GovCon industry, with encryption, access controls, and a compliance certification roadmap.
Encryption
- AES-256 encryption at rest
- TLS 1.3 encryption in transit
Access Controls
- Role-based access control (RBAC)
- Multi-factor authentication (MFA)
- Least-privilege access model
- Single sign-on (SSO) support
Infrastructure
- Web Application Firewall (WAF)
- DDoS protection
- Network segmentation
- Centralized logging and monitoring
Operations
- Annual third-party penetration testing
- Quarterly vulnerability scans
- Documented incident response plan
- Background checks for all personnel
Compliance Certification Roadmap
| Certification | Status | Timeline |
|---|---|---|
| SOC 2 Type I | In progress | Year 1 |
| SOC 2 Type II | Planned | Year 2 |
| ISO 27001 | Planned | Year 2 |
| CMMC Level 2 | Roadmap | Year 2–3 |
| FedRAMP | Roadmap | Year 3+ |
Certification timelines are targets and subject to third-party audit processes.
Built for Scale, Designed for GovCon
Quantitative Analysis Engine
Proprietary scoring models for recompete prediction, incumbent vulnerability assessment, pricing optimization, and win probability calculation.
Automated Data Processing
Automated data collection pipelines running on continuous schedules across 18+ government procurement sources.
Secure Cloud Infrastructure
AES-256 encryption, role-based access, and infrastructure designed for SOC 2 compliance.
Enterprise-Grade Platform
Modern cloud architecture with automated scaling and API access for enterprise integration.
Platform Questions & Answers
Common questions about the platform's capabilities, data sources, security, and pricing.
A government contracting intelligence platform is software that helps contractors find, evaluate, and win government contracts. Unlike basic opportunity search tools, Aliff applies quantitative analysis — including recompete prediction, incumbent vulnerability scoring, pricing optimization, and win probability calculation — to help contractors make data-driven capture decisions.
How Does Aliff Fit Your Pipeline?
The best way to understand the platform is to see what it says about your opportunities. Explore our expert service capabilities, review sector-specific solutions, or book a personalized demo.
Aliff Solutions provides analytical tools and intelligence to support government contracting decisions. Results depend on data quality, market conditions, and organizational capabilities. Aliff does not guarantee contract awards. Certification timelines are targets and subject to audit processes. Data source coverage expands quarterly; not all sources may be active at any given time.