Tredence
San Jose-based data science and AI consultancy founded in 2013, serving CPG, retail, and industrials.
Founded 2013 | San Jose, California, USA | 1,001–5,000 employees | Last updated: July 2026
ml-developmentpredictive-analyticsdata-engineeringai-consulting
What is Tredence?
Tredence is a privately held data analytics and AI company founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey, headquartered in San Jose with delivery centers across North America, Europe, and Asia. Reported headcount is roughly 3,500–4,300 employees, and the firm focuses on applying data science and AI within specific industry contexts including retail, CPG, industrials, and travel.
Tredence was founded in 2013 and is headquartered in San Jose, California, USA. The firm employs 1,001–5,000 people and works primarily with clients in Retail, CPG, Industrials, Travel & Hospitality, Financial Services sectors. Its primary differentiator is: Deep vertical focus applying AI specifically within retail, CPG, and industrials contexts rather than horizontal AI consulting..
Tredence tech stack and services
PythonTensorFlowAWSDatabricksSnowflake
| Service area | Details |
|---|---|
| Retail or CPG demand forecasting and pricing optimization models | Available for Retail, CPG, Industrials, Travel & Hospitality, Financial Services clients |
| Industrials predictive-maintenance and supply-chain AI programs | Available for Retail, CPG, Industrials, Travel & Hospitality, Financial Services clients |
| Large-scale, multi-region analytics and AI transformation initiatives | Available for Retail, CPG, Industrials, Travel & Hospitality, Financial Services clients |
Tredence use cases
Short answer: Tredence is best suited for retail, CPG, and industrials companies wanting industry-contextualized data science and AI delivery at scale..
| Use case | Industries | Approach |
|---|---|---|
| Retail or CPG demand forecasting and pricing optimization models | Retail, CPG | Python, TensorFlow |
| Industrials predictive-maintenance and supply-chain AI programs | Retail, CPG | Python, TensorFlow |
| Large-scale, multi-region analytics and AI transformation initiatives | Retail, CPG | Python, TensorFlow |
Tredence pricing
Short answer: Tredence uses a fixed project and managed analytics services pricing approach. Minimum engagement starts at Not published.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From Not published | Well-defined scope |
| Managed services | Variable; depends on team size | Large programmes or team augmentation |
Tredence does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Tredence pros and cons
| Advantages | Things to consider |
|---|---|
| +Strong industry-vertical focus, particularly retail and CPG, supports domain-aware model design | -Broad data-analytics positioning means custom ML model development sits alongside BI and reporting work |
| +3,500+ employee scale enables large, multi-region delivery programs | -Enterprise scale can mean less founder-level access than boutique competitors |
| +12 years of continuous focus on applied data science and AI | -Minimum engagement size and standard pricing not publicly disclosed |
| +Delivery presence across North America, Europe, and Asia supports global rollouts |
Tredence vs alternatives
How Tredence compares to the other top Machine Learning Development agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Neurons Lab | Enterprises in financial services or other regulated sectors... | One of the few AI consultancies worldwide holding AWS's Advanced Machine Learning Consulting Competence. | 4.8 | Full comparison |
| Tensorway | Mid-market companies wanting a single vendor to cover... | Full-stack ML delivery — data science, MLOps, and LLM/agentic frameworks (LangChain, LangGraph, AutoGen) — in one team. | 4.6 | Full comparison |
| Provectus | Mid-market and enterprise buyers who want AI/ML delivery... | Combines AI/ML delivery with cloud and big-data engineering as a single integrated systems-integrator practice. | 4.5 | Full comparison |
| InData Labs | Fintech, healthcare, and SaaS companies wanting a specialist... | Dedicated in-house R&D center focused specifically on data science and AI rather than broad software outsourcing. | 4.5 | Full comparison |
| AI Superior | Small and mid-size companies in the EU that... | PhD-founder-led team with an explicit research-and-development service line alongside standard client delivery. | 4.3 | Full comparison |
| Data Monsters | Companies needing GPU-heavy deep learning work where an... | Elite NVIDIA partnership status supporting GPU-optimized deep learning delivery (per company website; independently unverifiable tier). | 4.2 | Full comparison |
| ITRex Group | Mid-market companies combining AI/ML work with IoT or... | Explicit focus on applied AI paired with intelligent-edge and IoT development, not just cloud-based ML. | 4.2 | Full comparison |
| Ideas2IT | Healthcare, BFSI, and manufacturing enterprises wanting AI capability... | Employee-ownership model paired with vertical focus in Healthcare, BFSI, and Manufacturing. | 4.1 | Full comparison |
| Quantiphi | Enterprises, especially in financial services, needing AI delivery... | AI-native firm that reached enterprise scale (2,600+ employees) without pivoting from generalist IT outsourcing. | 4.4 | Full comparison |
| Fractal Analytics | Large enterprises wanting a publicly-listed, financially transparent AI/analytics... | First Indian AI company to complete an IPO (NSE/BSE, February 2026), adding public financial transparency. | 4.4 | Full comparison |
| Sigmoid | Large enterprises needing a data-engineering-first partner that also... | Data-engineering-first delivery model, with ML/AI built directly on pipelines the firm also builds and manages. | 4.2 | Full comparison |
| LatentView Analytics | Companies wanting analytics and BI delivery with ML... | Publicly listed (NSE/BSE since 2021) analytics firm with two decades of operating history. | 3.9 | Full comparison |
| Indium Software | Companies that already use Indium for QA/testing and... | Long-standing QA and testing heritage now paired with proprietary AI accelerators like teX.ai. | 3.8 | Full comparison |
| Grid Dynamics | Enterprises needing SEC-level financial transparency and public-company compliance... | Nasdaq-listed public company (GDYN) with SEC-filed financials, offering procurement transparency few competitors match. | 4.1 | Full comparison |
| Persistent Systems | Very large enterprises that want AI/ML delivered by... | Enterprise-wide scale (24,000+ employees) supporting AI/ML as part of a full IT services portfolio, not a standalone specialty. | 3.8 | Full comparison |
| EPAM Systems | The largest global enterprises needing AI delivery embedded... | Largest headcount on this list (62,000+) with NYSE-listed financial transparency and a proprietary LLM orchestration platform (EPAM DIAL). | 3.8 | Full comparison |
| SoftServe | Enterprises wanting a large, established engineering partner with... | 32 years of continuous operation spanning both a US public-market presence and deep Ukrainian engineering roots. | 4.0 | Full comparison |
| N-iX | Mid-to-large enterprises, including Fortune 500 clients, wanting a... | 23 years of operating history originating from a Novell technology acquisition, now serving Fortune 500 clients from a Malta-based HQ. | 4.0 | Full comparison |
| DataArt | Enterprises across finance, media, healthcare, and retail wanting... | 28 years of operating history across 30+ global delivery locations, with a newer (2024) dedicated AI strategy consulting service line. | 3.9 | Full comparison |
| Andersen | Mid-to-large enterprises wanting AI/ML and data science delivered... | Named AI-powered robotic integration line alongside standard AI/ML and data science services. | 4.0 | Full comparison |
| Innowise Group | Companies wanting AI/ML delivered as part of a... | Full-cycle software development scope (web, mobile, cloud, QA, security) with AI/ML as one of several integrated specialties. | 3.9 | Full comparison |
| Sigma Software Group | Companies wanting ML delivered by an outsourcing firm... | Consecutive annual placement on IAOP's World's Top 100 Outsourcing list every year since 2015. | 4.0 | Full comparison |
| Exadel | Enterprises wanting model design through MLOps and production... | Explicit end-to-end scope 'from model design to MLOps and integration' as one of five named core service lines. | 4.1 | Full comparison |
| MobiDev | Retail, hospitality, and health/fitness companies wanting a mid-size... | 65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals. | 4.2 | Full comparison |
| Master of Code Global | Companies specifically building conversational AI, chatbot, or generative-AI-driven... | Specialization narrowly focused on conversational AI and chatbots, with 1,000+ projects delivered over 21 years. | 4.1 | Full comparison |
| ScienceSoft | Companies wanting AI/ML delivered by a long-established generalist... | 36 years of continuous IT consulting history, one of the longest track records among firms on this list. | 3.9 | Full comparison |
| Intellectsoft | Enterprises wanting AI-powered application development from a firm... | Named enterprise client roster (EY, Harley-Davidson, London Stock Exchange, Qualcomm, Jaguar) rare among mid-size firms on this list. | 4.0 | Full comparison |
| Belitsoft | Small-to-mid companies wanting AI/ML added to a broader... | 21 years as a custom software development firm now expanding deliberately into generative AI and predictive analytics. | 3.9 | Full comparison |
| Neoteric | Small and mid-size companies wanting an accessible, specialized... | 20 years of operating history condensed into a compact, generative-AI-focused team rather than a broad IT services portfolio. | 4.3 | Full comparison |
| Addepto | Companies wanting boutique AI/BI consulting from a team... | Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology. | 4.1 | Full comparison |
| Softweb Solutions | Companies needing AI/ML specifically paired with IoT sensor... | Backed by Avnet, a global electronics distributor, giving unusual hardware/IoT supply-chain proximity for AI-on-device projects. | 3.9 | Full comparison |
Tredence FAQ
What is Tredence?
Tredence is a privately held data analytics and AI company founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey, headquartered in San Jose with delivery centers across North America, Europe, and Asia. Reported headcount is roughly 3,500–4,300 employees, and the firm focuses on applying data science and AI within specific industry contexts including retail, CPG, industrials, and travel.
How much does Tredence charge?
Tredence uses fixed project and managed analytics services pricing. Minimum engagement starts at Not published. A discovery call is required to get project-specific quotes.
What tech stack does Tredence use?
Tredence works with Python, TensorFlow, AWS, Databricks, Snowflake. Primary industries served include Retail, CPG, Industrials, Travel & Hospitality, Financial Services.
Is Tredence right for enterprise?
Retail, CPG, and industrials companies wanting industry-contextualized data science and AI delivery at scale.. 1,001–5,000 team size. Key consideration: Broad data-analytics positioning means custom ML model development sits alongside BI and reporting work.
What are the best Tredence alternatives?
The best alternatives to Tredence depend on your use case. Top options are:
- Neurons Lab: one of the few ai consultancies worldwide holding aws's advanced machine learning consulting competence.
- Tensorway: full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team.
- Provectus: combines ai/ml delivery with cloud and big-data engineering as a single integrated systems-integrator practice.
Compare Tredence with other Machine Learning Development agencies
Tredence vs Neurons Lab Tredence vs Tensorway Tredence vs Provectus Tredence vs InData Labs Tredence vs AI Superior Tredence vs Data Monsters Tredence vs ITRex Group Tredence vs Ideas2IT Tredence vs Quantiphi Tredence vs Fractal Analytics Tredence vs Sigmoid Tredence vs LatentView Analytics Tredence vs Indium Software Tredence vs Grid Dynamics Tredence vs Persistent Systems Tredence vs EPAM Systems Tredence vs SoftServe Tredence vs N-iX Tredence vs DataArt Tredence vs Andersen Tredence vs Innowise Group Tredence vs Sigma Software Group Tredence vs Exadel Tredence vs MobiDev Tredence vs Master of Code Global Tredence vs ScienceSoft Tredence vs Intellectsoft Tredence vs Belitsoft Tredence vs Neoteric Tredence vs Addepto Tredence vs Softweb Solutions
Last reviewed: July 2026. Verify all details directly with Tredence before making a decision.