Teamworks Startup Diligence Research Report
If Teamworks converts its elite-sports footprint into integrated, high-retention multi-module ARR, it could be a category-defining vertical SaaS/data platform. The investability question is whether growth is organic, profitable and defensible after acquisition integration rather than primarily capital- and M&A-driven.
Teamworks Startup Diligence Research Report
Teamworks is a credible, well-funded sports-technology platform with verified unicorn financing, broad public customer reach and meaningful AI/data acquisitions. The diligence posture is Track / proceed only with deeper data-room work because audited financials, customer revenue concentration, cap-table terms and legal/privacy exposure are not publicly verifiable.
Public evidence confirms a heavily funded private unicorn but not audited operating performance. Investment-grade work must start with quality of revenue, cash conversion, customer concentration and cap-table terms.
not publicly verifiable confidence: high
Teamworks is private and reviewed public sources do not disclose audited income statements, balance sheets, cash flows, management reports, backlog or AR aging.
| financial item | public status | public evidence | diligence implication |
|---|---|---|---|
| Audited annual financial statements | Not public | Private-company sources disclose funding, not statements | Cannot underwrite revenue, margin, cash flow or balance sheet quality |
| Revenue by product/channel/geography | Not public | Product pillars and customer segments are public only at narrative/count level | Organic growth, gross margin and concentration remain unknown |
| Backlog and AR aging | Not public | No backlog, receivables or collections schedules disclosed | Bookings quality and collectability require data room |
| Customer revenue concentration | Not public | Counts/logos public; revenue by account absent | Potential hidden dependence on large leagues, teams or universities |
Every financial-statement checklist item requires company documents.
partially verified confidence: medium
Growth drivers are visible in market reach, Series F proceeds and acquisitions, but three-year projections, pricing policy, capex, working capital and financing assumptions are not public.
partially verified confidence: medium
The public record verifies a recent large financing and shareholder additions from acquisitions, but shares outstanding, option pool, warrants, debt and off-balance-sheet liabilities are not public.
partially verified confidence: medium
Financing history is publicly reconstructable from 2019 onward, but tax positions, accounting policies and current basis by round require data-room access.
| date | event | amount | investors or counterparty | public implication | diligence need |
|---|---|---|---|---|---|
| 2019-11 | Series C | $25M | Led by Delta-v Capital | Scaled from venture-backed growth to 3,000+ teams | Validate historical ARR and product mix at round |
| 2022-06 | Series D | $50M | Delta-v and existing/new investors | Capitalized expansion before acquisition acceleration | Verify terms and total funding basis |
| 2023-04 | Series E and ARMS acquisition | $65M | Led by Dragoneer; ARMS Software acquired | Added compliance/collegiate footprint and 6,000+ organization claim | Review acquisition accounting and revenue overlap |
| 2025-06 | Series F | $235M | Led by Dragoneer; primary plus secondary | $1B+ valuation and AI/product/data-science funding | Validate ARR, preference stack and secondary sellers |
| 2026-03 | PFF Enterprise acquisition | Not disclosed | PFF investors became Teamworks shareholders | Expanded football data and shareholder base | Review consideration, earnouts and dilution |
Public financing supports scale but not revenue quality or ownership economics.
Teamworks has credible breadth across sports operations, performance, compliance, intelligence, video/coaching and football-data workflows. The main diligence question is how much is integrated, monetized and defensible versus a portfolio of acquired tools.
verified confidence: medium
Public materials describe an integrated operating system and acquired specialist assets, but product-level revenue, gross margin, retention, usage and roadmap timing are private.
| platform area | public assets or products | customer evidence | integration question |
|---|---|---|---|
| Operations and personnel | Teamworks OS, personnel and operations modules; ARMS compliance | 520+ collegiate departments and 7,000+ teams/organizations | Are roster, compliance and communication data models unified? |
| Performance and athlete services | Performance category, Smartabase/Notemeal/related assets referenced in company history | Elite sports and athlete-development positioning | What modules drive retained ARR and usage? |
| Intelligence and predictive analytics | Zelus Analytics and Sportlogiq | Zelus across major leagues; Sportlogiq at 97% NHL and 220+ clients | Do data rights and model governance support scalable AI products? |
| Coaching, video and football data | Telemetry Sports and PFF Enterprise | Telemetry at 80% NFL; PFF Enterprise trusted by every NFL team | How are video, scouting and football datasets packaged and priced? |
Platform breadth is substantial, but product-level economics are private.
| application | public signal | risk | requested metric |
|---|---|---|---|
| Collegiate athletics operations/compliance | 520+ collegiate departments; ARMS >400 departments | Definition overlap and cross-sell saturation | ARR and retention by department and module |
| Professional club intelligence | Zelus/Sportlogiq/PFF elite-league penetration | Data rights, model explainability and competition from bespoke analytics | Attach rate, model usage and gross margin |
| Coaching and video | Telemetry served 80% NFL and 20% Power 4 | Video workflow displacement and integration into OS | Usage by staff role and renewal rate |
| Athlete content/NIL and engagement | INFLCR and brand marks appear in public IP/product references | Market shifts and policy changes in NIL/content workflows | Module ARR, churn and compliance roadmap |
Diligence should convert product narrative into module economics.
Public evidence supports broad sports-market reach, especially collegiate and elite/professional sports, but the investment risk sits in undisclosed customer concentration, renewal quality and contract terms.
partially verified confidence: medium
Teamworks publishes aggregate counts and selected customer testimonials, not a top-15 customer list by application or revenue.
| segment | public count or example | evidence strength | diligence gap |
|---|---|---|---|
| Teams worldwide | 7,000+ | High for aggregate claim | Definitions, paying vs non-paying, ARR by segment |
| Collegiate athletic departments | 520+; ARMS >400 departments | High for public footprint | Contract size, renewal timing, Power 4 concentration |
| Professional organizations | 330; examples include Boston Red Sox testimonial | Medium | Parent-account concentration and data-rights terms |
| Leagues/governing bodies | 65 | Medium | Strategic relationship economics and exclusivity |
Customer breadth is public, customer economics are not.
partially verified confidence: medium
Strategic relationships are implied by league, governing-body and acquisition customer coverage, but marketing agreements and revenue contribution are not public.
| category | public signal | contract question | risk |
|---|---|---|---|
| League/team relationships | NFL, NHL, MLB, NBA and other league customer references across acquisitions | What are term, exclusivity, data and renewal rights? | High-profile churn or dispute can influence market perception |
| University/athletic departments | 520+ collegiate departments; 240+ DI programs in PFF Enterprise | Who is contracting entity and budget owner? | Budget cycles and NCAA policy shifts |
| Subprocessors | AWS, Twilio, DocuSign, Gainsight among named subprocessors | What are SLAs, DPAs, termination rights and spend? | Operational/data-processing dependency |
| Acquisition sellers/investors | PFF investors became Teamworks shareholders | What earnouts, indemnities and retained rights remain? | Dilution and contingent consideration |
Use this as a request list for contracts and supplier schedules.
not publicly verifiable confidence: high
No customer-level revenue or 5%+ revenue concentration data was found publicly.
inconclusive confidence: medium
No systematic public list of severed customer, partner or supplier relationships was found. The Phillies/Zelus matter is a legal dispute involving an acquired analytics business and should be diligence-tested for customer/partner fallout.
partially verified confidence: medium
Top suppliers and purchase amounts are private, but the privacy policy identifies several subprocessors that should be included in supplier diligence.
Teamworks appears to occupy a broad sports-operations platform position, competing with specialist sports analytics, athlete management, compliance, video, fan/content and general SaaS alternatives. Public evidence is stronger on category breadth than win/loss proof.
partially verified confidence: medium
Competition varies by module: Catapult/Kitman/Hudl/Genius-style specialists and sport-specific analytics providers compete in parts of the stack, while internal spreadsheets and legacy systems remain substitution risk.
| segment | teamworks position | representative alternatives | basis of competition |
|---|---|---|---|
| Team operations/communications | OS platform with operations/personnel workflows | Internal tools, legacy systems, point SaaS | Ease of use, implementation, breadth and price |
| Athlete performance/medical | Performance category and acquired assets | Catapult, Kitman Labs, bespoke sports science systems | Data capture, practitioner workflow and integrations |
| Sports intelligence/analytics | Zelus/Sportlogiq/PFF Enterprise assets | Hudl, Genius Sports, internal analytics groups, league data vendors | Data rights, model quality, sport-specific coverage |
| Compliance/collegiate admin | ARMS and collegiate footprint | NCAA/department systems, manual workflows, compliance point solutions | Regulatory fit, audit trail and department adoption |
Public data supports segment breadth, not market share.
| basis | teamworks public strength | hidden risk | diligence evidence needed |
|---|---|---|---|
| Platform breadth | OS for Sports plus broad product pillars | Suite may be less integrated than marketed | Cross-product usage, shared data model and attach-rate metrics |
| Customer reach | 7,000+ teams and major-league adoption claims | Counts may include low-ARR or legacy logos | Paying logos, ARR by cohort and churn |
| AI/data science | Zelus/Sportlogiq/PFF technical assets | Data-rights and model-governance constraints | Model validation, data licenses and incident history |
| Brand in elite sports | Pro/college/league references | High-profile disputes can damage trust | Win/loss, legal disputes and customer satisfaction |
Competition diligence should focus on monetized differentiation, not logo counts alone.
GTM evidence shows strong positioning around elite sports, collegiate departments, professional organizations, leagues and acquired communities. Economics of sales productivity, pipeline and budget sufficiency remain non-public.
verified confidence: medium
Teamworks positions as a unified platform for elite sports organizations and uses acquisitions, customer proof and segment-specific pages to extend reach.
| gtm motion | public evidence | growth logic | diligence metric |
|---|---|---|---|
| Enterprise direct to collegiate departments | 520+ collegiate athletic departments | Department-wide adoption and cross-sell of compliance/performance modules | ARR, NRR and sales cycle by collegiate tier |
| Professional team/league direct | 330 pro organizations and 65 leagues/governing bodies | Elite-sports referenceability and multi-team league relationships | Parent-account concentration and renewal calendar |
| Acquisition-installed-base cross-sell | Telemetry, Zelus, Sportlogiq and PFF Enterprise customer bases | Attach Teamworks OS and AI modules to acquired customer relationships | Attach rate, churn and product overlap by acquired base |
| AI/data thought leadership | Series F and acquisitions emphasize AI/data science | Upsell intelligence, roster and coaching products | Pipeline sourced by AI offerings and conversion rate |
GTM is credible but requires conversion and unit-economics proof.
partially verified confidence: medium
Aggregate reach and selected references are credible, but status/trends of major customers, expansion pipeline and churn are private.
partially verified confidence: medium
Likely avenues include enterprise direct sales into college/pro/league accounts, cross-sell of acquired modules, international expansion and data/AI upsell into existing relationships.
not publicly verifiable confidence: high
Sales compensation, quotas, productivity, ramp and hiring plans are not publicly disclosed.
| metric | public status | why it matters | request |
|---|---|---|---|
| Quota and attainment | Not public | Determines sales capacity and forecast reliability | Rep-level quota, bookings, attainment and ramp by cohort |
| Sales cycle and CAC payback | Not public | Elite sports contracts may be budget-cycle dependent | Funnel conversion, cycle length, CAC and payback by segment |
| Marketing budget sufficiency | Not public | Series F proceeds may support expansion but not guarantee ROI | Budget, spend vs plan, ROI and pipeline by source |
| Cross-sell productivity | Not public | Acquisition thesis depends on attach rates | Attach, renewal and expansion metrics for acquired customers |
Core sales economics must be requested; no public substitute found.
partially verified confidence: medium
Series F capital improves capacity, but budget sufficiency cannot be assessed without operating plan, burn and pipeline economics.
R&D evidence is unusually strong for a sports SaaS company because acquired analytics assets disclose scientists, researchers and publication/patent signals. Key diligence remains productization, data rights, model governance and integration cost.
partially verified confidence: medium
Public materials identify a Chief Data Scientist and acquired technical teams, but detailed R&D org chart, budget and roadmap governance are not public.
| asset or role | public signal | technical relevance | diligence question |
|---|---|---|---|
| Chief Data Scientist | Doug Fearing listed in leadership | Executive owner for data-science strategy | Scope, team size, roadmap authority and model governance |
| Zelus Analytics | 70+ data scientists/engineers | Predictive models and sports intelligence | Data rights, customer-specific models and litigation exposure |
| Sportlogiq | 80 employees, 10 AI researchers, 180+ papers/patents | Computer vision and hockey/sports analytics | Research-to-product conversion and retention of researchers |
| PFF Enterprise | Every NFL team and 240+ DI programs | Football data and strategy products | Data ownership, consumer/enterprise separation and integration roadmap |
Technical assets are material but require code, data and model diligence.
partially verified confidence: medium
New product pipeline is inferred from acquisitions and AI/product funding language, but release timing, development cost and critical technology dependencies are private.
| initiative | public trigger | critical dependency | risk control request |
|---|---|---|---|
| AI-powered sports intelligence | Series F AI/product/data-science use of proceeds | Model quality, data rights and explainability | Model validation and governance framework |
| Unified intelligence from Zelus/Sportlogiq/PFF | Three analytics/data acquisitions | Common identifiers, data pipelines and customer permissions | Integration roadmap and data-license schedule |
| Coaching/video workflows | Telemetry acquisition | Video ingestion, tagging and staff adoption | Architecture, scalability and usage metrics |
| Compliance/operations cross-sell | ARMS acquisition and platform OS messaging | Workflow integration and regulatory updates | Roadmap and compliance update process |
Pipeline diligence should join product, engineering, privacy and legal review.
Public leadership and workforce scale are strong, but compensation, employment agreements, option plans, turnover and full organization structure are private. Integration of acquired technical teams is a material people risk.
partially verified confidence: medium
A senior leadership roster is public, but no full reporting-line organization chart was found.
partially verified confidence: medium
Teamworks discloses 485+ employees and 17 countries but not historical/projected headcount by function or location.
| topic | public evidence | diligence gap | risk implication |
|---|---|---|---|
| Workforce scale | 485+ employees | Function/location history and forecast | Burn and integration costs cannot be modeled |
| Global operations | 17 countries and 24x7x365 support | Legal entities, contractors and employment compliance | Cross-border cost and compliance exposure |
| Benefits | Remote-first, leave, health/dental/vision, development budget | Benefit costs and retention effectiveness | Hiring/retention economics unknown |
| Acquired technical teams | Zelus 70+ technical staff; Sportlogiq 80 employees | Retention, compensation and integration status | Loss of key technical talent could impair AI roadmap |
People diligence must focus on growth quality and acquisition retention.
partially verified confidence: medium
Names and titles are public; detailed bios, tenure, ages and prior employment histories require supplemental diligence.
| name | public role | diligence focus | public source |
|---|---|---|---|
| Zach Maurides | Founder & Chief Executive Officer | Founder control, vision, succession and investor alignment | Teamworks about page |
| Kyle Charters | Chief Financial Officer | Financial controls, forecasting, acquisitions and investor reporting | Teamworks about page |
| Reed Shaffner | Chief Technology Officer | Architecture, security, integration and technical debt | Teamworks about page |
| Doug Fearing | Chief Data Scientist | AI/model governance and sports intelligence roadmap | Teamworks about page |
| Anna Resman | Chief Operating Officer | Post-acquisition operations and service delivery | Teamworks about page |
| Corey Richardson | Executive Vice President, Sales | Sales productivity and enterprise GTM | Teamworks about page |
Roster is public; biographies and compensation are not.
partially verified confidence: medium
Benefits are public; employment agreements, executive compensation and severance/retention arrangements are not.
not publicly verifiable confidence: high
No option pool, equity incentive plan, strike prices or vesting schedules were publicly disclosed.
inconclusive confidence: medium
No material employee-relations problem was identified in reviewed public sources; this is not proof of absence.
partially verified confidence: medium
Turnover data is not public, while benefit-plan messaging is public.
Legal diligence should focus on the Phillies/Zelus dispute, IP chain-of-title from acquisitions, data privacy/security controls for athlete data, material contracts and insurance. Public evidence is enough to identify risks but not enough to underwrite exposure.
partially verified confidence: medium
A public federal docket confirms a Phillies v. Zelus Analytics contract dispute filed in March 2025 and terminated shortly thereafter; secondary reporting links broader allegations and posture that counsel should verify.
| issue | public evidence | status | diligence request |
|---|---|---|---|
| Phillies v. Zelus Analytics federal docket | 2:25-cv-01384 filed March 14, 2025; contract dispute; terminated March 23, 2025 | Verified federal docket metadata | Active docket, pleadings, damages, counsel memo and insurance tender |
| Secondary reported Teamworks/Zelus allegations | Local/legal coverage reported preliminary-injunction posture and ongoing dispute risk | Partially verified; counsel confirmation required | State-court filings and settlement/impact analysis |
| Patents and trademarks | CB Insights four patents; trademark profile lists multiple Teamworks marks | Directional public index | USPTO/patent counsel verification and chain-of-title schedule |
| Acquired IP/data rights | Multiple acquired analytics/data businesses | Material but private | Acquisition agreements, data licenses and open-source scans |
Legal/IP diligence should prioritize current litigation posture and acquired data rights.
inconclusive confidence: medium
No pending lawsuits initiated by Teamworks were identified in reviewed public sources.
inconclusive confidence: medium
As a software company with remote-first messaging, no material environmental or workplace safety liabilities were identified publicly.
partially verified confidence: medium
Public IP indicators include patents and trademarks, but ownership, licenses, assignments and open-source use require counsel review, especially across acquisitions.
not publicly verifiable confidence: high
Insurance coverage and limits are not publicly disclosed; cyber, E&O, D&O and litigation coverage are material given data and legal exposure.
| exposure | public signal | materiality | diligence request |
|---|---|---|---|
| Personal and athlete data processing | Privacy policy describes personal data processing and processor role | High for sports teams, youth/college athletes and enterprise customers | SOC 2/ISO, DPIAs, incident log, DPA templates and data maps |
| Subprocessors | AWS, Twilio, DocuSign, Gainsight and others named | Operational and data-processing dependency | Vendor contracts, SLAs, DPAs and spend concentration |
| Material customer/data contracts | Customer scale and analytics acquisitions imply data-license complexity | High for AI/intelligence products | Top MSAs, data licenses, exclusivity, termination and audit rights |
| Insurance | No limits disclosed; litigation/privacy risks exist | Coverage gap could magnify litigation or incident cost | Cyber, E&O, D&O, EPLI policies and claims history |
Public privacy policy provides a starting point, not a control assurance.
partially verified confidence: medium
Material customer, data, acquisition, supplier and subprocessor contracts are private, but public privacy disclosures and acquisition announcements identify contract classes to review.
partially verified confidence: medium
No public regulatory agency problems were identified, but youth-athlete data, FERPA/PCI references, CPRA/EEA/UK disclosures and global processing create compliance diligence needs.
| ID | Claim | Status | Sources |
|---|---|---|---|
| EC-001 | — | verified high | SRC-001 |
| EC-002 | — | verified high | SRC-001 |
| EC-003 | — | verified high | SRC-002 |
| EC-004 | — | verified high | SRC-002 |
| EC-005 | — | verified high | SRC-003 |
| EC-006 | — | verified high | SRC-004 |
| EC-007 | — | verified medium | SRC-005 |
| EC-008 | — | verified medium | SRC-006 |
| EC-009 | — | partially verified medium | SRC-007 |
| EC-010 | — | verified high | SRC-008 |
| EC-011 | — | verified high | SRC-009 |
| EC-012 | — | verified high | SRC-010 |
| EC-013 | — | verified high | SRC-011 |
| EC-014 | — | verified high | SRC-012 |
| EC-015 | — | verified high | SRC-013 |
| EC-016 | — | verified high | SRC-014 |
| EC-017 | — | partially verified low | SRC-015SRC-014 |
| EC-018 | — | partially verified medium | SRC-005SRC-016 |
| EC-019 | — | verified high | SRC-001 |
| EC-020 | — | not publicly verifiable high | SRC-001SRC-002SRC-004SRC-005 |
| EC-021 | — | not publicly verifiable high | SRC-001SRC-004SRC-005 |
| EC-022 | — | verified high | SRC-013 |
| EC-023 | — | verified medium | SRC-006SRC-008SRC-001SRC-004SRC-012 |
| EC-024 | — | verified high | SRC-008SRC-009SRC-010SRC-011SRC-012 |
| EC-025 | — | partially verified high | SRC-002SRC-003 |
| EC-026 | — | partially verified medium | SRC-002SRC-013 |
| EC-027 | — | partially verified medium | SRC-013 |
| EC-028 | — | not publicly verifiable high | SRC-013SRC-014 |
| EC-029 | — | not publicly verifiable high | SRC-001SRC-004 |
| EC-030 | — | verified medium | SRC-004SRC-005 |
This report is a public-evidence diligence snapshot, not investment advice. Important financial, legal, technical, and contractual facts remain non-public and should be verified directly with management and primary documents before any investment decision.