Top Data Science & Analytics Companies
353 agencies foundAvg. rating: 5.032 specializationsUpdated May 2026
Innowise
VerifiedFull-cycle software development delivering custom digital solutions with 18+ years of global IT expertise
4.8(5)
4.8
5 reviews
St. Petersburg, Florida1001-50002007
Innowise is an international full-cycle software development company founded in 2007. Over the past 19+ years, the firm has grown into a multinational operation with 3,500+ professionals spanning offices across Europe, North America, and Asia. The company specializes in helping businesses build and scale digital products, modernize legacy systems, and adopt advanced technologies such as AI, blockchain, IoT, and AR/VR. With more than 1,600 custom software solutions delivered to clients in over 40 industries, Innowise has established itself as a dependable partner for organizations ranging from startups to large enterprises. The company operates on a full-cycle development model, covering every stage from initial consulting and business analysis through UX/UI design, engineering, quality assurance, deployment, and ongoing support. Its technical teams work across a broad technology stack including JavaScript frameworks, native and cross-platform mobile development, cloud platforms like AWS, Azure, and GCP, and enterprise systems such as SAP, Salesforce, and Microsoft Dynamics 365. Innowise also maintains dedicated practices in machine learning, big data analytics, robotic process automation, and metaverse development. Innowise has earned notable industry recognition, including placement on the Inc. 5000 list of fastest-growing U.S. companies and consecutive appearances on the IAOP Global Outsourcing 100 from 2022 through 2025. The company holds ISO 13485 certification for medical device software development. With a reported 93% client return rate, the firm emphasizes long-term partnership and consistent delivery quality. Innowise offers flexible engagement models including dedicated development teams, IT staff augmentation, and project-based outsourcing, enabling clients to scale technical capacity on demand.
“I was impressed by how good the code quality was right from the beginning. Their frequency and style of communication were to the point and never more than needed.”
— CEO, Zero Beta
UX/UI DesignArtificial IntelligenceMobile App DesignCustom Software DevelopmentTelecommunicationsEcommerce & DTCLogistics & Supply ChainPortfolio ProRising StarTop Rated
$50 - $99/hrMin. $10,000
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$50 - $99/hrMin. $10,000
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Frequently Asked Questions About Data Science & Analytics
What does a Data Science & Analytics agency do?
Data Science & Analytics agencies build end-to-end data solutions including ETL pipelines, data warehouses, predictive models, and business intelligence dashboards. They specialize in statistical analysis, machine learning implementation, and real-time data streaming to help companies extract actionable insights from their data. These firms also provide data governance frameworks and quality assurance processes to ensure reliable, scalable analytics infrastructure.
How much do Data Science & Analytics services cost?
Data Science & Analytics projects typically range from $25,000 for basic dashboard development to $500,000+ for comprehensive enterprise data platforms. Costs depend on project complexity, data volume, required integrations, and whether you need custom machine learning models or predictive analytics capabilities. Most agencies offer both project-based pricing and ongoing retainer models for continuous optimization and support.
How do I choose the right Data Science & Analytics agency?
Look for agencies with proven expertise in your specific industry and technology stack, whether that's Snowflake, Databricks, or Power BI. Evaluate their portfolio of statistical modeling projects, data pipeline implementations, and business intelligence solutions similar to your needs. Strong candidates should demonstrate experience with data governance, real-time monitoring systems, and the ability to translate complex analytics into clear business recommendations.
