Framework Science scorecard

Company Overview

Framework Science is a BPO company.

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Executive summary

Brand Profile: Voice: technical. Voice: professional. Voice: growth-oriented. Client Value Proposition: Summary: Public claims position Framework Science as a provider of faster access to vetted nearshore engineers, better talent-to-business alignment, and more transparent delivery operations for U.S. companies.. Value Points: Title: Faster access to engineering bandwidth. Value Points: Description: Public materials emphasize helping companies build and scale software teams.. Value Points: Title: Vetted technical talent. Value Points: Description: Sources claim candidates are tested and evaluated before client placement.. Value Points: Title: Alignment to business objectives. Value Points: Description: The company claims AI/ML-based matching to improve fit between engineers and client needs.. Value Points: Title: Visibility into delivery processes. Value Points: Description: Public materials describe tracking from recruiting through onboarding and performance monitoring.. Company Overview: Highlights: Public sources describe a nearshore software development and engineering-services business.. Highlights: Public references indicate use of AI/ML in talent evaluation and matching.. Highlights: The company is associated with TeamStation AI in public materials.. Description: Framework Science appears to be a nearshore software engineering and talent-alignment firm operating under the fwscience.us domain, with public references describing it as a software engineering company focused on building and scaling engineering teams for U.S. clients.. Competitive Differentiators: Differentiators: Title: AI-assisted talent alignment. Differentiators: Description: Public materials claim use of AI/ML tools to evaluate technical profiles and align candidates to client objectives.. Differentiators: Title: Nearshore delivery model. Differentiators: Description: The company emphasizes nearshore engineering talent across Latin America for U.S. clients.. Differentiators: Title: Operational visibility. Differentiators: Description: Public sources describe process visibility across recruiting, testing, onboarding, training, and performance tracking..

Strengths

• Brand Profile: Voice: technical. Voice: professional. Voice: growth-oriented. (public_web; observed 2026-08-26)
• Client Value Proposition: Summary: Public claims position Framework Science as a provider of faster access to vetted nearshore engineers, better talent-to-business alignment, and more transparent delivery operations for U.S. companies.. Value Points: Title: Faster access to engineering bandwidth. Value Points: Description: Public materials emphasize helping companies build and scale software teams.. Value Points: Title: Vetted technical talent. Value Points: Description: Sources claim candidates are tested and evaluated before client placement.. Value Points: Title: Alignment to business objectives. Value. (public_web; observed 2025-11-03)
• Company Overview: Highlights: Public sources describe a nearshore software development and engineering-services business.. Highlights: Public references indicate use of AI/ML in talent evaluation and matching.. Highlights: The company is associated with TeamStation AI in public materials.. Description: Framework Science appears to be a nearshore software engineering and talent-alignment firm operating under the fwscience.us domain, with public references describing it as a software engineering company focused on building and scaling engineering teams for U.S. clients.. (public_web; observed 2025-11-03)

Gaps

• The reviewed public sources do not establish buyer-specific service levels, staffing commitments, or acceptance criteria for a defined scope. (public_web; observed 2026-08-26)
• The reviewed public sources do not establish a buyer-specific continuity design, recovery objective, security schedule, or named delivery team. (public_web; observed 2026-08-26)
• The reviewed public sources do not provide directly comparable commercial terms and independently verified outcomes for a like-for-like engagement. (public_web; observed 2026-08-26)

Firmographics

GB100 score

Overall score: 47

• egs: 36
• growth: 50
• reputation: 45.5
• ai_readiness: 50
• market_footprint: 50
• digital_readiness: 52.6

Scores are calculated from published evidence and the current GB100 methodology; payment does not affect rank.

Services and operating scope

Competitive Landscape: Competitors: Name: TeamStation AI. Competitors: Evidence: Presented as the product/platform associated with Framework Science rather than a separate competitor.. Competitors: Relationship: alternative. Competitors: Name: Other nearshore software development firms. Competitors: Evidence: Framework Science describes itself as a nearshore software development company serving clients across the Americas.. Competitors: Relationship: direct. Positioning: Nearshore software development and staffing provider using AI-enabled matching and a distributed engineering operating system.. Market Signals: Positioning around the Americas and Latin America/nearshore delivery. Market Signals: Content emphasizes scaling engineering teams and aligning talent to client objectives. Differentiators: AI-assisted candidate matching. Differentiators: nearshore software development focus. Differentiators: TeamStation AI platform association. Key Firmographics: Founded Year: 2017. Revenue Display: $10M-$50M revenue range appears in third-party directories; another source cites 3M USD gross revenue, but this is not independently verified. Sectors Display: Information Technology. Sectors Display: Software Development. Sectors Display: Nearshore engineering services. Headquarters Display: Public directories variably list San Diego, California, and Cuauhtemoc, Baja California, Mexico; exact headquarters is not consistently verified. Employee Count Display: 51-200 employees. Ownership Type Display: Private company. Pricing & Engagement: Models: Name: Hourly nearshore delivery. Models: Best For: Clients seeking flexible nearshore engineering capacity. Models: Description: A public interview states rates are kept below 40 USD per hour.. Models: Name: TCO-based staffing comparison. Models: Best For: Buyers evaluating staffing economics. Models: Description: Public materials reference a total cost of ownership calculator that itemizes labor and operating costs.. Summary: A public claim states that Framework Science keeps rates below 40 USD per hour and uses a total cost of ownership calculator, but no independently verified pricing sheet or formal engagement model was found.. Employee & Client Sentiment: Sentiment Trend: unknown. Employee Satisfaction: unknown. Services

Geography

Delivery Center Details: Centers: City: San Diego. Centers: Country: United States. Centers: City: Cuauhtemoc. Centers: Country: Mexico. Tech Stack & Tools: Tools: Category: AI. Tools: Confidence: confirmed. Tools: Product Name: SpaCy. Tools: Category: AI. Tools: Confidence: confirmed. Tools: Product Name: TensorFlow. Tools: Category: AI. Tools: Confidence: confirmed. Tools: Product Name: NumPy. Tools: Category: AI. Tools: Confidence: confirmed. Tools: Product Name: TeamStation AI. Ai Capabilities: candidate-to-client matching. Ai Capabilities: human-centered AI staffing workflow. Ai Capabilities: nearshore engineering resource alignment. Proprietary Tech: TeamStation AI. Financial Health: Overall Health: unknown. Leadership & Executives: Executives: Bio: Public sources identify Lonnie McRorey as CEO and Founder with long-standing nearshore software development experience.. Executives: Name: Lonnie McRorey. Executives: Title: CEO and Founder. Executives: Bio: Public references associate Dan Diachenko with company leadership and with TeamStation AI co-founder activity.. Executives: Name: Dan Diachenko. Executives: Title: CEO / Co-founder reference appears in public sources. Recent News: Articles: Date: 2024-05-17. Articles: Title: Dan Diachenko Joins TeamStation AI as Co-founder. Articles: Source: fwscience.us. Articles: Summary: Company blog post announcing Dan Diachenko's co-founder role with TeamStation AI.. Reputation & Reviews: Summary: Public reputation signals are limited and fragmented across directories and social profiles; no robust third-party review corpus was verified.. Credentials: Detail: Public employee-rating snippet shows a small review sample and 51-200 employee band.. Credentials: Rating: 58% CEO approval rating. Credentials: Platform: Indeed. Credentials: Detail: Directory listing provides employee and revenue estimates but not a review score.. Credentials: Platform: ZoomInfo. Executive Summary: Summary: Framework Science is a public-facing nearshore software engineering firm with U.S. client focus, talent matching claims, and a

Methodology

Framework Science's BPOIndex scorecard is assembled from public, attributable evidence rather than vendor-submitted marketing claims or a paid-placement package. The research pass reviewed 12 distinct source URLs and retained 18 substantive facts or company sections with direct citations. Each retained observation is tied to the page where it was found and to the date on which that page was observed. Information that could not be traced to a reviewed public source was left out. This distinction matters because a provider's website may describe broad capabilities without publishing buyer-specific service levels, staffing commitments, commercial terms, delivery capacity, or independently comparable outcomes. Collection and publication are separate. Collection discovers public pages, records evidence, and builds structured sections for company background, services, delivery footprint, operating signals, and credentials. Publication includes only substantive observations carrying an HTTP citation. The strengths below identify areas where the provider has published inspectable information; they are not guarantees of quality, price, security, or fit. Evidence gaps are questions the reviewed sources did not answer at a buyer-specific level, not negative claims about the provider. Peer links are navigation aids from other canonical BPOIndex profiles, not a claim that every company is identical in size, geography, specialization, or commercial model. Buyers should compare the underlying service taxonomy, locations, evidence, and current score dimensions. Confirm scope-specific service levels, named delivery sites, staffing assumptions, security controls, continuity plans, pricing units, minimum commitments, and referenceable outcomes directly with the provider. The observed dates show when evidence was collected. Later enrichment can add newly published sources, but unsupported inference, duplicate shells, and generic filler do not qualify a page for indexing.

Read the full GB100 methodology

Coverage gaps

• Insufficient public evidence for employee coverage.
• Insufficient public evidence for headquarters coverage.
• Insufficient public evidence for service taxonomy coverage.
• Insufficient public evidence for industry taxonomy coverage.

Contact

Website: https://www.fwscience.us

Phone: 1009960

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