Best ML Development Services

ScienceSoft

35-year Texas-headquartered IT consultancy with a mature AI/MLOps delivery practice.

Founded 1989 | McKinney, Texas, United States | 750+ employees | Last updated: July 2026
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What is ScienceSoft?

ScienceSoft was founded in 1989 and is headquartered in McKinney, Texas, bringing together more than 750 engineers and consultants with a track record of over 4,200 successful projects for 1,400+ clients across healthcare, insurance, investment, manufacturing, retail, and telecom. Its AI practice includes AI engineers, generative AI consultants, and MLOps experts working with both open-source frameworks and cloud-native AI services, and Clutch has named ScienceSoft a 2018 Global IT Leader among its Clutch 1000 companies. At 35+ years old, it is one of the longest-established firms in this list, with AI as a newer addition to a much older core business.

ScienceSoft was founded in 1989 and is headquartered in McKinney, Texas, United States. The firm employs 750+ people and works primarily with clients in Healthcare, Insurance, Manufacturing, Retail & E-commerce, Telecom sectors. Its primary differentiator is: 35+ years of continuous operating history (since 1989), among the longest-established vendors in this list..

ScienceSoft tech stack and services

AWSAzure MLGoogle CloudApache AirflowMLflow
Service area Details
Enterprise wants AI/MLOps delivery from a vendor with 35+ years of institutional stability. Available for Healthcare, Insurance, Manufacturing, Retail & E-commerce, Telecom clients
Insurance or healthcare company needs a vendor with a very large (4,200+) project delivery track record. Available for Healthcare, Insurance, Manufacturing, Retail & E-commerce, Telecom clients
Company wants generative AI consulting bundled with broader long-term IT consulting relationship. Available for Healthcare, Insurance, Manufacturing, Retail & E-commerce, Telecom clients

ScienceSoft use cases

Short answer: ScienceSoft is best suited for enterprises wanting AI/MLOps delivery from a 35-year-old IT consultancy with an extensive multi-industry track record..

Use case Industries Approach
Enterprise wants AI/MLOps delivery from a vendor with 35+ years of institutional stability. Healthcare, Insurance AWS, Azure ML
Insurance or healthcare company needs a vendor with a very large (4,200+) project delivery track record. Healthcare, Insurance AWS, Azure ML
Company wants generative AI consulting bundled with broader long-term IT consulting relationship. Healthcare, Insurance AWS, Azure ML

ScienceSoft pricing

Short answer: ScienceSoft uses a time & materials, managed engagement pricing approach. Minimum engagement starts at Not published.

Engagement model Typical range Best for
Managed engagement Variable; depends on team size Large programmes or team augmentation
Time & materials Variable; depends on team size Large programmes or team augmentation
Staff augmentation Variable; depends on team size Large programmes or team augmentation
ScienceSoft does not publish a public rate card. Contact them directly via their website to get project-specific pricing.

ScienceSoft pros and cons

Advantages Things to consider
+35+ years of operating history (since 1989) is among the longest track records of any firm in this list. -AI is a comparatively newer addition to a company whose core 35-year identity is broader IT consulting.
+4,200+ successful projects for 1,400+ clients provides an extensive delivery pattern library across industries. -750-person total headcount spans many practice areas, so AI-specific bench depth is smaller than the total suggests.
+2018 Global IT Leader recognition from Clutch, part of the Clutch 1000, is an independently sourced distinction.
+750+ engineers and consultants with dedicated MLOps and generative AI consulting roles, not just generalist developers relabeled.

ScienceSoft vs alternatives

How ScienceSoft compares to the other top Machine Learning Development companies.

Company Best for Key difference Rating Compare
Neurons Lab Enterprises that need a senior AI advisory team... Founder-led AI strategy-to-production consultancy with no junior-heavy delivery layer. 4.9 Full comparison
Provectus Mid-market and enterprise companies that need production-grade MLOps,... AI-first systems integrator built around running production ML/AI infrastructure long-term. 4.8 Full comparison
Tensorway Fintech, healthcare, and retail companies that want a... AI boutique backed by 20+ years of software delivery experience via parent company Anadea. 4.6 Full comparison
InData Labs FinTech, healthcare, and SaaS companies that want a... Ten-plus years as a pure-play AI/data-science firm with no general software-development sideline. 4.5 Full comparison
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XenonStack Companies building agentic AI or real-time data platforms... Multi-cloud certified (AWS, Azure, GCP) platform-engineering specialist for real-time and agentic AI. 4.4 Full comparison
Grid Dynamics Fortune 1000 enterprises that need public-company financial transparency... Nasdaq-listed enterprise AI engineering firm with public financial reporting and Fortune 1000 client base. 4.4 Full comparison
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Sigma Software Group Automotive, aviation, and AdTech companies that need a... Deep, decade-plus domain expertise in AdTech, automotive, and aviation combined with enterprise-scale delivery capacity. 4.2 Full comparison
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SoluLab Companies that want AI development from a vendor... Combines AI-native development with blockchain/Web3 expertise under one delivery team. 4.1 Full comparison
Zfort Group Companies wanting a long-established (24+ year) software firm's... One of the longest-operating firms in this list (founded 2000) with a 5-star Clutch rating and broad ML sub-specialty coverage. 4.0 Full comparison
Yalantis Compliance-sensitive industries (IoT, healthcare, embedded systems) that need... Compliance-first positioning combined with multi-cloud ML delivery (AWS, Azure, GCP) under one roof. 4.0 Full comparison
Space-O Technologies Companies that need machine learning embedded into a... 15 years of mobile/software product delivery experience (since 2010) with ML added as a production-application capability. 4.0 Full comparison
EPAM Systems Large enterprises with $100K+ AI budgets that need... Public-company (NYSE: EPAM) scale and compliance rigor, with 30+ years of engineering history predating the AI wave. 4.0 Full comparison
SoftServe Enterprises that want an established, dual-HQ (US/Ukraine) engineering... 31 years of engineering history (since 1993) with dual US and Ukraine headquarters and 12,000+ employees. 4.0 Full comparison
DataArt Regulated-industry enterprises (finance, healthcare) that need AI delivery... Artisyn, a proprietary AI-enabled operating model embedding governance and AI agents across the delivery lifecycle. 3.9 Full comparison
Cleveroad Healthcare, logistics, and fintech companies wanting an Estonia-based... Named to the 2025 Clutch 1000, placing it in the global top 30 highest-rated B2B service providers on the platform. 3.9 Full comparison
Existek Mid-market companies wanting a Clutch-recognized offshore development firm... 4.9 Clutch rating with dual Ukraine/Romania Clutch top-developer recognition and a $25,000+ accessible entry point. 3.9 Full comparison
Konstant Infosolutions Companies needing AI/ML features added to a mobile... 175+ Clutch reviews — one of the highest review volumes in this list — from a 23-year mobile/web development track record. 3.9 Full comparison
Debut Infotech Companies wanting ML development from a firm that... Blockchain-native since 2015, combining that engineering discipline with newer machine learning and AI automation services. 3.9 Full comparison
ValueCoders Budget-conscious companies wanting a 20-year Indian IT outsourcer... 5.0 Clutch rating combined with a specific AutoML development service line, uncommon among generalist outsourcing firms. 3.8 Full comparison
OpenXcell Companies wanting AI strategy and custom LLM development... 500–1,000 person scale combined with a specific custom-LLM development offering, not just general AI consulting. 3.8 Full comparison
Simform Companies wanting AI/ML engineering bundled with broader cloud,... Ranked #2 worldwide among Clutch's Top B2B Service Providers of 2023 — one of the strongest third-party rankings in this list. 3.8 Full comparison
Belitsoft Companies that need AI models integrated into an... 20+ years of dedicated SaaS product development experience, applied specifically to AI model integration for B2B SaaS. 3.8 Full comparison
N-iX Enterprises wanting ML development bundled with broader cloud,... Seven consecutive years of Clutch top global IT services company recognition, combined with dedicated ML and MLOps consulting content. 3.8 Full comparison
ELEKS Enterprises wanting AI/ML delivery from one of the... 33+ years of operating history (since 1991) with 1,000+ delivered data-driven projects and Global Outsourcing 100 recognition. 3.7 Full comparison
Intellias Automotive, mobility, and IoT companies wanting ML development... Strong automotive/mobility and IoT sector heritage, giving it differentiated depth in embedded and connected-device ML use cases. 3.7 Full comparison
Andersen Enterprises wanting AI consulting bundled with a very... 3,600+ in-house experts across 20 office locations, giving it exceptional breadth across programming languages and delivery models. 3.7 Full comparison
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Accenture The largest global enterprises needing AI transformation consulting... Everest Group's highest-rated Leader in both Data & Analytics and AI/Generative AI PEAK Matrix Assessments (2024), at unmatched global scale. 3.7 Full comparison

ScienceSoft FAQ

What is ScienceSoft?

ScienceSoft was founded in 1989 and is headquartered in McKinney, Texas, bringing together more than 750 engineers and consultants with a track record of over 4,200 successful projects for 1,400+ clients across healthcare, insurance, investment, manufacturing, retail, and telecom. Its AI practice includes AI engineers, generative AI consultants, and MLOps experts working with both open-source frameworks and cloud-native AI services, and Clutch has named ScienceSoft a 2018 Global IT Leader among its Clutch 1000 companies. At 35+ years old, it is one of the longest-established firms in this list, with AI as a newer addition to a much older core business.

How much does ScienceSoft charge?

ScienceSoft uses time & materials, managed engagement pricing. Minimum engagement starts at Not published. A discovery call is required to get project-specific quotes.

What tech stack does ScienceSoft use?

ScienceSoft works with AWS, Azure ML, Google Cloud, Apache Airflow, MLflow. Primary industries served include Healthcare, Insurance, Manufacturing, Retail & E-commerce, Telecom.

Is ScienceSoft right for enterprise?

Enterprises wanting AI/MLOps delivery from a 35-year-old IT consultancy with an extensive multi-industry track record.. 750+ team size. Key consideration: AI is a comparatively newer addition to a company whose core 35-year identity is broader IT consulting..

What are the best ScienceSoft alternatives?

The best alternatives to ScienceSoft depend on your use case. Top options are:

  • Neurons Lab: founder-led ai strategy-to-production consultancy with no junior-heavy delivery layer.
  • Provectus: ai-first systems integrator built around running production ml/ai infrastructure long-term.
  • Tensorway: ai boutique backed by 20+ years of software delivery experience via parent company anadea.
See full alternatives list

Compare ScienceSoft with other Machine Learning Development companies

Last reviewed: July 2026. Verify all details directly with ScienceSoft before making a decision.