ScienceSoft
Texas-based IT consultancy covering AI integration for healthcare and finance software
Founded 1989 | McKinney, TX, USA | 750+ employees
document-processingpredictive-analyticscrm-integration
What is ScienceSoft?
ScienceSoft is an IT consulting and software development company founded in 1989, headquartered in McKinney, Texas, with more than 750 staff. It describes itself as an AI and software development firm, and its work spans healthcare IT, financial software, data analytics and machine learning integration. The company cites a 4.8 Clutch rating on its own pages. It is a generalist that covers AI as one service line among many.
ScienceSoft works primarily with clients in Healthcare, Financial services, Retail, Manufacturing sectors. Its primary differentiator is: Long-established generalist covering both the surrounding software and the AI feature.
ScienceSoft tech stack and services
Microsoft Dynamics 365SalesforceAzure OpenAIPower BIPython
| Service area |
|---|
| Document Processing |
| Predictive Analytics |
| CRM Integration |
ScienceSoft pricing
Short answer: Fixed-price and T&M; rates on request. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From not disclosed | Well-defined scope |
| Time & materials | Variable; depends on team size | Large programmes or team augmentation |
| Dedicated team | 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 |
|---|---|
| +Three decades of operation suggests stability | -AI is one practice among many, with less specialist depth |
| +Healthcare and finance domain knowledge | -Content-heavy marketing makes independent comparison harder |
| +Can cover integration, testing and support under one contract |
ScienceSoft vs alternatives
How ScienceSoft compares to the other top AI Integration companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market firms adding AI to existing CRM and... | Integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call | 4.8 | Full comparison |
| Provectus | AWS-based companies needing data work before AI. | Pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team | 4.6 | Full comparison |
| Slalom | Salesforce-centric enterprises, Data Cloud and Agentforce. | Partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack | 4.6 | Full comparison |
| Neurons Lab | Banks and insurers piloting agentic AI under regulation. | Financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation | 4.5 | Full comparison |
| TTMS | Pharma and regulated firms on Salesforce or Microsoft... | Adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules | 4.5 | Full comparison |
| Avanade | Microsoft-standardized enterprises rolling out Copilot. | A Microsoft-only practice of about 59,000 people covering Dynamics 365, Azure OpenAI and Copilot governance | 4.4 | Full comparison |
| deepsense.ai | Engineering teams wanting a strong RAG partner. | Research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets | 4.4 | Full comparison |
| Addepto | Data teams needing warehouse work before an LLM... | Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored | 4.3 | Full comparison |
| Vstorm | Teams wanting agents they will own and maintain. | Agent specialists who hand over a production system the client team can maintain without them | 4.3 | Full comparison |
| Quantiphi | Google Cloud estates, high-volume document AI. | Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments | 4.3 | Full comparison |
| Grid Dynamics | Retailers adding AI to commerce and supply chain... | Packaged agentic-commerce accelerators backed by a large engineering bench with public financial reporting | 4.3 | Full comparison |
| EPAM Systems | Large enterprises with Salesforce and SAP estates. | Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic | 4.3 | Full comparison |
| Accenture | Global enterprises with multi-country compliance needs. | Scale and compliance coverage across every major platform, region and regulator | 4.2 | Full comparison |
| Perficient | Marketing and service teams on Adobe or Salesforce. | Adds AI inside customer-experience platforms such as Adobe Experience Cloud, Salesforce and Microsoft | 4.2 | Full comparison |
| Azumo | Budget-conscious U.S. teams, time-zone-aligned. | U.S.-hours engineering from Argentina at a $25–$49 Clutch band with a $10,000 entry point | 4.2 | Full comparison |
| RTS Labs | U.S. mid-market firms with stalled AI pilots. | Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections | 4.2 | Full comparison |
| Thoughtworks | Engineering-led firms that value delivery practice. | Long-standing engineering discipline, testing and continuous delivery applied to AI features | 4.1 | Full comparison |
| InData Labs | Mid-size firms needing forecasting and data science. | Data-science-led team that builds predictive models alongside generative features | 4.1 | Full comparison |
| Master of Code Global | Consumer brands building chat and voice assistants. | Two decades of conversational design work for consumer brands, now applied to LLM-based assistants | 4.1 | Full comparison |
| Deloitte | Regulated enterprises needing audit-grade AI controls. | Risk and governance expertise next to SAP and Oracle integration teams in one firm | 4.1 | Full comparison |
| IBM Consulting | Enterprises already committed to IBM watsonx. | Prebuilt connectors in watsonx Orchestrate plus IBM's own governance tooling | 4.0 | Full comparison |
| Globant | Firms wanting subscription-priced AI capacity. | Subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour | 4.0 | Full comparison |
| N-iX | Larger programmes needing an Eastern European team. | Large Central and Eastern European engineering bench with data-platform experience | 4.0 | Full comparison |
| Itransition | Cost-sensitive buyers wanting a large generalist. | Low published rates combined with a large engineering pool | 3.9 | Full comparison |
| Miquido | Product teams adding AI to customer-facing apps. | Product design and mobile engineering applied to AI features in apps | 3.9 | Full comparison |
| Markovate | Startups wanting a quick generative AI build. | Generative AI app builds for startups with a fast proof-of-concept focus | 3.9 | Full comparison |
| LeewayHertz | Buyers open to a platform-led ZBrain build. | Builds on its own ZBrain low-code platform, now backed by The Hackett Group | 3.8 | Full comparison |
ScienceSoft FAQ
What is ScienceSoft?
Texas-based IT consultancy covering AI integration for healthcare and finance software
How much does ScienceSoft charge?
Pricing at ScienceSoft: Fixed-price and T&M; rates on request. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does ScienceSoft use?
ScienceSoft works with Microsoft Dynamics 365, Salesforce, Azure OpenAI, Power BI, Python. Primary industries served include Healthcare, Financial services, Retail, Manufacturing.
Is ScienceSoft right for enterprise?
Healthcare and finance firms wanting one IT vendor. 750+ team size. Key consideration: AI is one practice among many, with less specialist depth.
What are the best ScienceSoft alternatives?
The best alternatives to ScienceSoft depend on your use case. Top options are:
- Tensorway: integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call
- Provectus: pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team
- Slalom: partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack
Compare ScienceSoft with other AI Integration companies
ScienceSoft vs Tensorway ScienceSoft vs Provectus ScienceSoft vs Slalom ScienceSoft vs Neurons Lab ScienceSoft vs TTMS ScienceSoft vs Avanade ScienceSoft vs deepsense.ai ScienceSoft vs Addepto ScienceSoft vs Vstorm ScienceSoft vs Quantiphi ScienceSoft vs Grid Dynamics ScienceSoft vs EPAM Systems ScienceSoft vs Accenture ScienceSoft vs Perficient ScienceSoft vs Azumo ScienceSoft vs RTS Labs ScienceSoft vs Thoughtworks ScienceSoft vs InData Labs ScienceSoft vs Master of Code Global ScienceSoft vs Deloitte ScienceSoft vs IBM Consulting ScienceSoft vs Globant ScienceSoft vs N-iX ScienceSoft vs Itransition ScienceSoft vs Miquido ScienceSoft vs Markovate ScienceSoft vs LeewayHertz
Verify all details directly with ScienceSoft before making a decision.