ScienceSoft
A 35-year-old McKinney, Texas IT firm with Microsoft Gold and AWS partner certifications and ML for manufacturing, healthcare, and oil & gas.
Founded 1989 | McKinney, TX, USA | 700–1,000 employees
custom-mlpredictive-analyticsdata-engineeringmlopsml-consulting
What is ScienceSoft?
ScienceSoft is a global IT services company founded in 1989 and headquartered in McKinney, Texas, with 700+ employees and delivery centres in Eastern Europe and the Americas. The firm's machine learning practice focuses on custom ML solutions for manufacturing, healthcare, and oil & gas industries, with a 35-year IT track record across 20+ countries. ScienceSoft's ML engineers design and implement models for demand forecasting, quality prediction, medical diagnostics, and production optimisation. The company holds Microsoft Gold Partnership and AWS Partner certifications.
ScienceSoft was founded in 1989 and is headquartered in McKinney, TX, USA. The firm employs 700–1,000 people and works primarily with clients in Manufacturing, Healthcare, SaaS, Logistics, Fintech sectors. Its primary differentiator is: 35-year IT firm with Microsoft Gold and AWS partner certifications and documented vertical depth in manufacturing, healthcare, and oil & gas ML.
ScienceSoft tech stack and services
PythonScikit-learnTensorFlowPyTorchAzure MLAWS SageMakerSQL ServerPower BIMLflowDocker
| Service area |
|---|
| Custom ML Development |
| Predictive Analytics |
| Data Engineering |
| MLOps & Deployment |
| ML Consulting |
ScienceSoft use cases
Short answer: ScienceSoft is best suited for Manufacturing, healthcare, oil & gas, Microsoft and AWS-certified.
| Use case |
|---|
| Demand forecasting and production optimisation ML for manufacturing plants |
| Clinical decision support ML for healthcare providers and hospital systems |
| Predictive maintenance for oil & gas equipment and industrial infrastructure |
| Quality inspection ML for industrial production processes |
| Supply chain optimisation analytics for logistics and distribution companies |
ScienceSoft pricing
Short answer: ScienceSoft uses a fixed project, dedicated team, t&m pricing approach. Minimum engagement starts at $50K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $50K | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Time & materials | 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-year delivery track record provides confidence for regulated industry procurement requirements | -ML is one of many IT service lines — not a pure-play AI specialist firm |
| +Microsoft Gold and AWS Partner certifications verify cloud ML deployment credentials | -Primary vertical focus on manufacturing and healthcare may not serve other sectors equally well |
| +Deep manufacturing, healthcare, and oil & gas ML vertical expertise with named case studies | -Higher minimum engagement than boutique ML alternatives at similar quality tier |
| +700+ employees provide delivery capacity for large concurrent enterprise programmes | |
| +US Texas HQ for North American enterprise client engagement and account management |
ScienceSoft vs alternatives
How ScienceSoft compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| InData Labs | Mid-market companies, verified-track-record production ML. | Pure-play data science boutique with 4.9/5 Clutch rating across 18 independent reviews and documented post-launch iteration model | 4.8 | Full comparison |
| Tensorway | Mid-market and enterprise clients, specialist computer vision and... | Deep learning specialist backed by its parent company's 25-year delivery heritage, with a dedicated computer vision practice covering detection, segmentation, and video analytics | 4.6 | Full comparison |
| Simform | AWS-first companies, cloud-native production ML. | AWS Premier Partner with 200+ ML engineers and 4.8/5 Clutch rating across 82 verified reviews — one of the most independently validated firms in this niche | 4.5 | Full comparison |
| Blackthorn Vision | Healthcare and fintech mid-market, boutique data science, senior... | Published case studies across healthcare and fintech ML with a documented data science lifecycle and accessible $20K minimum engagement | 4.4 | Full comparison |
| Codiste | Startups, full ML lifecycle through to production. | AI-first engineering firm with explicit MLOps focus and generative AI capability alongside classical ML model development | 4.3 | Full comparison |
| DataRoot Labs | EU and Israeli companies, structured ML R&D methodology. | Structured AI R&D methodology with formal experiment cycles serving European and Israeli mid-market clients | 4.2 | Full comparison |
| *instinctools | German and US companies, long-track-record ML partner. | 25-year delivery heritage with self-managed dedicated ML teams and co-headquarters in Stuttgart, Germany and Potomac, Maryland | 4.2 | Full comparison |
| Neoteric | European companies, mid-size AI team, full app development. | Wrocław-based AI firm with documented approximately 90% positive Clutch reviews and full-service software plus ML delivery at $50–99/hr | 4.1 | Full comparison |
| MobiDev | Companies wanting ML plus mobile/web engineering, US/UK-managed. | US/UK-managed ML engineering firm with 400+ engineers and documented deep learning, NLP, and GPT integration across product development | 4.1 | Full comparison |
| Leobit | US startups and scale-ups, ML plus product engineering,... | Full-stack AI engineering firm with strong generative AI and corporate LLM deployment capability alongside standard ML development | 4.0 | Full comparison |
| STX Next | Python-first companies, ML embedded in software products. | Europe's largest Python engineering firm with 700+ engineers, making ML a natural extension of existing Python product development | 4.0 | Full comparison |
| LeewayHertz | US enterprises, LLM integration, generative-AI advisory. | San Francisco-based AI firm with strong LLM integration and generative AI advisory capability alongside standard ML development | 3.9 | Full comparison |
| Fractal Analytics | Fortune 500 CPG, retail, insurance, enterprise-scale AI. | 25-year enterprise AI firm with documented Fortune 500 programmes in CPG, retail, and insurance analytics across 4,000+ professionals | 3.9 | Full comparison |
| Acropolium | Hospitality, healthcare, logistics, affordable EU-registered ML. | Estonia-registered Eastern European ML firm with hospitality and logistics ML specialisation and accessible $15K minimum engagement | 3.8 | Full comparison |
| Scopic | Companies wanting senior ML engineers, distributed, competitive rates. | 20-year distributed firm with 1,000+ remote engineers and published ML case studies in healthcare, manufacturing, and financial risk | 3.8 | Full comparison |
| Iflexion | Enterprises, consulting-first ML strategy and feasibility. | 25-year enterprise IT firm with a consulting-led ML practice that evaluates feasibility and designs data strategy before implementation begins | 3.8 | Full comparison |
| N-iX | Enterprises, Fortune 500-proven MLOps expertise. | Named Fortune 500 MLOps deployments at Bosch, Gogo, and Fluke with 2,000+ engineers and a data-infrastructure-first ML approach | 3.9 | Full comparison |
| Intellias | Product companies, ML integrated into digital platforms. | Product-engineering-first approach to ML with a dedicated MLOps practice and documented automotive and fintech AI delivery experience | 3.8 | Full comparison |
| Oxagile | Media, sports, AdTech, video and content-analytics ML. | 20-year video technology specialist with strong computer vision and video analytics ML capability for media, sports, and AdTech clients | 3.8 | Full comparison |
| Innowise | Banking, healthcare, agriculture, competitive Eastern European rates. | 1,200-engineer Eastern European firm with documented banking, healthcare, and agriculture ML delivery from Poland and UAE offices | 3.8 | Full comparison |
| Appinventiv | Enterprises, ML features in mobile/web products at scale. | 200+ dedicated ML experts within a 1,600+ person firm delivering ML at scale within mobile and enterprise product development | 3.7 | Full comparison |
| Devox Software | EU, UK, US clients, cost-efficient Python ML for... | High client retention rate (82% long-term partnerships) with Python-native ML focus for finance and retail use cases | 3.7 | Full comparison |
| Intuz | US companies, SF-based AI and agent development. | San Francisco-headquartered AI firm founded in 2008 with ML and AI agent development alongside standard ML model development | 3.7 | Full comparison |
| Softeq | Enterprises, ML for hardware and IoT platforms. | Houston-based enterprise firm with unique strength in ML for IoT and hardware-connected AI applications alongside Microsoft and AWS partnerships | 3.7 | Full comparison |
| Itransition | Enterprises, ML consulting within large transformation programmes. | 25-year global firm with 3,000+ engineers across 40+ countries offering ML consulting within enterprise technology programmes | 3.7 | Full comparison |
| ELEKS | Fortune 500 enterprises, established European ML partner. | 35-year software engineering heritage with 1,000+ delivered data-driven projects and US presence in Chicago for North American enterprise clients | 3.6 | Full comparison |
| Avenga | Global corporations, large-scale European cloud ML. | 6,000-person global consultancy with AWS Advanced Partnership and 20+ certified cloud ML deployments across 16 countries and 44 delivery locations | 3.6 | Full comparison |
| DataArt | Finance, healthcare, media enterprises, ML in product delivery. | 29-year global engineering firm with 6,000+ specialists and a flat structure providing direct access to senior ML engineers on client projects | 3.6 | Full comparison |
| Ciklum | Global enterprises, AI in large-scale digital products. | 4,000-person Experience Engineering firm with 250+ enterprise clients and generative AI delivery integrated into large product programmes | 3.6 | Full comparison |
| Sigmoidal | Financial and healthcare firms, ML staff augmentation. | Specialist ML staff augmentation firm placing expert data scientists and ML engineers into client teams with financial services industry focus | 3.6 | Full comparison |
| Codiant | Startups and mid-market, accessible web/mobile ML builds. | Yash Technologies subsidiary with ISO 9001 and 27001 certifications, multi-continent delivery, and 700+ completed projects for 200+ active clients | 3.6 | Full comparison |
| GlobalLogic | Fortune 500 enterprises, large-scale MLOps implementation. | Hitachi-owned 30,000-person product engineering firm with MLOps and AI-Powered SDLC for Fortune 500 clients and industrial AI access via Hitachi ecosystem | 3.5 | Full comparison |
| BairesDev | US companies, nearshore Latin America ML engineers. | Latin America nearshore ML specialist with 4,000+ engineers and US timezone alignment for flexible staff augmentation and project delivery | 3.5 | Full comparison |
| DataRobot | Enterprises wanting an automated AutoML platform. | Enterprise AutoML platform that automates model building and deployment — a software product with professional services, not a custom development services firm | 3.5 | Full comparison |
| EPAM Systems | Large enterprises, proprietary AI orchestration platform. | Publicly traded 62,000-person firm with proprietary EPAM DIAL AI orchestration platform and AI transformation engineering positioning for global enterprises | 3.5 | Full comparison |
| Accenture | Global enterprises and governments, AI strategy at massive... | World's largest consulting firm with 700,000+ employees, government-scale AI governance capability, and a dedicated AI transformation practice | 3.5 | Full comparison |
| Cognizant | Global enterprises, ML plus legacy-system modernisation. | 330,000-person IT services firm combining ML engineering with legacy data modernisation for global enterprise digital transformation programmes | 3.5 | Full comparison |
ScienceSoft FAQ
What is ScienceSoft?
ScienceSoft is a global IT services company founded in 1989 and headquartered in McKinney, Texas, with 700+ employees and delivery centres in Eastern Europe and the Americas. The firm's machine learning practice focuses on custom ML solutions for manufacturing, healthcare, and oil & gas industries, with a 35-year IT track record across 20+ countries. ScienceSoft's ML engineers design and implement models for demand forecasting, quality prediction, medical diagnostics, and production optimisation. The company holds Microsoft Gold Partnership and AWS Partner certifications.
How much does ScienceSoft charge?
ScienceSoft uses fixed project, dedicated team, t&m pricing. Minimum engagement starts at $50K. A discovery call is required to get project-specific quotes.
What tech stack does ScienceSoft use?
ScienceSoft works with Python, Scikit-learn, TensorFlow, PyTorch, Azure ML, AWS SageMaker, SQL Server, Power BI, MLflow, Docker. Primary industries served include Manufacturing, Healthcare, SaaS, Logistics, Fintech.
Is ScienceSoft right for enterprise?
Manufacturing, healthcare, oil & gas, Microsoft and AWS-certified. 700–1,000 team size. Key consideration: ML is one of many IT service lines — not a pure-play AI specialist firm.
What are the best ScienceSoft alternatives?
The best alternatives to ScienceSoft depend on your use case. Top options are:
- InData Labs: pure-play data science boutique with 4.9/5 clutch rating across 18 independent reviews and documented post-launch iteration model
- Tensorway: deep learning specialist backed by its parent company's 25-year delivery heritage, with a dedicated computer vision practice covering detection, segmentation, and video analytics
- Simform: aws premier partner with 200+ ml engineers and 4.8/5 clutch rating across 82 verified reviews — one of the most independently validated firms in this niche
Compare ScienceSoft with other Machine Learning Development companies
ScienceSoft vs InData Labs ScienceSoft vs Tensorway ScienceSoft vs Simform ScienceSoft vs Blackthorn Vision ScienceSoft vs Codiste ScienceSoft vs DataRoot Labs ScienceSoft vs *instinctools ScienceSoft vs Neoteric ScienceSoft vs MobiDev ScienceSoft vs Leobit ScienceSoft vs STX Next ScienceSoft vs LeewayHertz ScienceSoft vs Fractal Analytics ScienceSoft vs Acropolium ScienceSoft vs Scopic ScienceSoft vs Iflexion ScienceSoft vs N-iX ScienceSoft vs Intellias ScienceSoft vs Oxagile ScienceSoft vs Innowise ScienceSoft vs Appinventiv ScienceSoft vs Devox Software ScienceSoft vs Intuz ScienceSoft vs Softeq ScienceSoft vs Itransition ScienceSoft vs ELEKS ScienceSoft vs Avenga ScienceSoft vs DataArt ScienceSoft vs Ciklum ScienceSoft vs Sigmoidal ScienceSoft vs Codiant ScienceSoft vs GlobalLogic ScienceSoft vs BairesDev ScienceSoft vs DataRobot ScienceSoft vs EPAM Systems ScienceSoft vs Accenture ScienceSoft vs Cognizant