Modus Create
Fully remote product engineering company founded in 2011, with AI/ML and data engineering practices.
Founded 2011 | Reston, USA | 501–1,000 employees
ml-consultingdata-engineering-mlcustom-model-training
What is Modus Create?
Modus Create is a fully remote, distributed product engineering company founded in 2011 and headquartered in Reston, Virginia, with team members spread across more than 55 countries. The company's AI/ML and data engineering practice includes AI Strategy Roadmap assessments and AI Data Foundation assessments intended to ensure underlying data is reliable and properly governed before or alongside model development work. Modus Create has partnered with technology providers including Atlassian, GitHub, and AWS, and has been recognized on the Inc. 5000 list for nine consecutive years.
Modus Create was founded in 2011 and is headquartered in Reston, USA. The firm employs 501–1,000 people and works primarily with clients in Technology/SaaS, Retail, Healthcare sectors. Its primary differentiator is: Structured AI Data Foundation assessment methodology that explicitly evaluates data readiness before committing to model development.
Modus Create tech stack and services
PythonAWSData governance toolingCloud ML platforms
| Service area |
|---|
| ML Strategy Consulting |
| Data Engineering for ML |
| Custom Model Training |
Modus Create use cases
Short answer: Modus Create is best suited for distributed orgs, remote-first data plus AI/ML delivery.
| Use case |
|---|
| Running an AI Data Foundation assessment before committing to a full model-development engagement |
| Building an AI strategy roadmap for an organization new to machine learning adoption |
| Combining broader remote product engineering with an embedded ML workstream |
| Engaging a distributed team for a globally dispersed organization |
Modus Create pricing
Short answer: Modus Create uses a not published; project and dedicated team pricing approach. Minimum engagement starts at Not published.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From Not published | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Assessment/audit engagement | Variable; depends on team size | Large programmes or team augmentation |
Modus Create does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Modus Create pros and cons
| Advantages | Things to consider |
|---|---|
| +Structured AI Data Foundation assessment reduces risk of building models on ungoverned or unreliable data. | -AI/ML is one of several product engineering service lines rather than the company's sole specialization. |
| +Fully remote, globally distributed team (55+ countries) offers broad timezone coverage. | -No clearly located aggregate Clutch/G2 star rating in available public sources. |
| +Nine consecutive years on the Inc. 5000 list signals sustained growth. | -Pricing model and minimum engagement are not published. |
| +Technology partnerships with Atlassian, GitHub, and AWS support integrated delivery tooling. | -Fully remote delivery model may not suit buyers who prefer localized or on-site teams. |
Modus Create vs alternatives
How Modus Create compares to the other top ML Model Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market fintech and SaaS, hybrid forecasting models. | Combines classical statistical forecasting with deep learning rather than defaulting to deep learning alone, and ships with experiment tracking and monitoring built in. | 4.8 | Full comparison |
| Neurons Lab | Financial services, engineering-led production AI. | End-to-end delivery model from use-case scoping to continuous production support, with declared depth in financial services. | 4.6 | Full comparison |
| DataRoot Labs | Startups needing a senior AI-only team, LLM/CV projects. | Has never diversified beyond AI/ML services, and backs its delivery bench with an in-house ML training program (DataRoot University). | 4.6 | Full comparison |
| Miquido | Companies wanting ML/CV bundled with mobile/web engineering. | Combines a large, review-verified product engineering practice with a dedicated AI/ML/CV specialization, useful for teams needing both app and model work from one vendor. | 4.6 | Full comparison |
| Provectus | Mid-market companies, cloud data plus ML in one. | Grew out of cloud and big-data engineering roots, giving it particular strength in the data infrastructure layer underneath ML models, not just the models themselves. | 4.5 | Full comparison |
| Neoteric | Organizations wanting a structured AI feasibility phase. | Two-decade operating history combined with a formal upfront feasibility-assessment stage before any model-building work begins. | 4.5 | Full comparison |
| Addepto | Cost-conscious teams, MLOps consulting or advisory-only. | Dedicated MLOps-consulting service line and Clutch-reported project pricing well below several peers in this list, making it the more budget-accessible option. | 4.4 | Full comparison |
| N-iX | Enterprise buyers, certified data-platform plus ML partner. | Broadest cloud certification footprint in this comparison (350+ across five major platforms), backed by a 200+ person dedicated data practice. | 4.4 | Full comparison |
| InData Labs | Companies needing predictive-analytics or CV, documented accuracy. | Publishes concrete, quantified accuracy figures in its case studies rather than only qualitative outcome claims. | 4.3 | Full comparison |
| MobiDev | Small/mid-size companies, dedicated ML consulting arm. | Historical Clutch #1 ranking for machine learning development (2021) combined with a specifically SME-oriented service model. | 4.3 | Full comparison |
| Sciforce | Research-oriented boutique, NLP, DSP, computer vision. | R&D-first culture with named specializations in digital signal processing and NLP that are less commonly offered as distinct practice areas by peers. | 4.2 | Full comparison |
| Sigmoid | Enterprises with data-infrastructure bottlenecks ahead of ML. | Data-engineering-first approach with 950+ multi-cloud certified engineers, positioning it as an infrastructure specialist that also delivers ML rather than the reverse. | 4.2 | Full comparison |
| Tredence | Enterprises, vertical analytics for supply chain at scale. | Venture-backed growth trajectory ($205M raised) with named specialization in supply chain and customer analytics rather than generic horizontal AI consulting. | 4.2 | Full comparison |
| Quantiphi | AWS-standardized enterprises, deepest AWS AI/ML credentials. | Deepest AWS-specific partnership credentials among firms researched, including AWS GenAI Innovation Center preferred-partner status. | 4.2 | Full comparison |
| Sigma Software Group | Companies wanting a Snowflake-certified data platform plus ML. | Snowflake AI Data Cloud partnership combined with unusually broad industry diversification (AdTech through aviation to gaming). | 4.1 | Full comparison |
| Intellectsoft | Companies wanting enterprise clients, dedicated AI Lab. | Unusually strong roster of large, publicly named enterprise clients (EY, Qualcomm, London Stock Exchange) for a company of its relatively modest team size. | 4.1 | Full comparison |
| ELEKS | Enterprises, established European engineering plus data science. | One of the longest operating histories (since 1991) among firms researched for this list, predating the AI consulting boom by decades. | 4.1 | Full comparison |
| Fractal Analytics | Large enterprises, scaled AI partner with a research... | Maintains a dedicated internal foundational AI research team alongside client delivery work, and is now a publicly listed company (NSE/BSE) rather than privately held like most peers of similar size. | 4.1 | Full comparison |
| Xebia | Enterprises, craftsmanship-rooted production AI consultancy. | Quarter-century software craftsmanship and technical training heritage now applied specifically to production AI/ML delivery rather than AI strategy alone. | 4.0 | Full comparison |
| Grid Dynamics | Fortune 1000 companies, publicly-traded ML partner. | The only publicly traded company (NASDAQ: GDYN) in this comparison among the mid-to-large tier, giving buyers audited financial transparency unavailable from private peers. | 4.0 | Full comparison |
| Iterate.ai | Regulated enterprises, fully private-infrastructure AI deployment. | Purpose-built for on-premise/private-infrastructure AI deployment, so client data and proprietary code never leave the client's own environment. | 4.0 | Full comparison |
| Aptus Data Labs | Boutique India-based data engineering, AWS AI depth. | Combines core data engineering consulting with specific AWS AI service implementation expertise in a boutique-sized team. | 4.0 | Full comparison |
| SoftServe | Enterprises, edge CV and asset-monitoring ML at scale. | Only company in this list simultaneously holding AWS Premier, Google Cloud AI/ML Specialization, and NVIDIA Elite Consulting Partner status, reflecting particular strength in edge and GPU-accelerated computer vision. | 4.0 | Full comparison |
| DataRobot | Enterprises standardizing on one automated ML platform. | The only platform-first vendor in this comparison, meaning model development work happens on and around DataRobot's own automated ML software rather than being platform-agnostic. | 3.9 | Full comparison |
| Persistent Systems | Mid-market/enterprise buyers, MLOps plus explainable-AI accelerators. | Purpose-built DxH accelerator suite for MLOps and bias detection, plus a specific Everest Group Leader ranking in the mid-market Data & AI segment rather than only the largest enterprise tier. | 3.9 | Full comparison |
| EPAM Systems | Very large enterprises, proprietary AI orchestration platform. | Proprietary EPAM DIAL platform for enterprise AI orchestration, combined with the 2025 AWS Global Innovation Partner of the Year distinction, an award-level differentiator not held by most peers. | 3.9 | Full comparison |
| Globant | Large enterprises, pre-packaged industry "AI Pods". | Only company in this list organized around a formal "studio + AI Pods" delivery model, and the only one with an IDC MarketScape Worldwide Leader in AI Services designation. | 3.9 | Full comparison |
| LTIMindtree | BFSI and tech enterprises, dedicated ModelOps and governance. | Explicit ModelOps templates and model-governance/responsible-AI tooling as named, productized capabilities rather than only bespoke consulting delivery, backed by an IBM watsonx Center of Excellence. | 3.9 | Full comparison |
| Cognizant | Healthcare-focused enterprises, large AI/analytics consulting bench. | Dedicated, named MLOps platform specifically built for healthcare, combined with one of the largest disclosed data/AI consultant headcounts (23,000+) in this comparison. | 3.9 | Full comparison |
| HCLTech | Very large enterprises, full-stack AI from chip to... | Unusually broad "chip-to-cloud" AI stack claim backed by two named proprietary platforms (Graviton for ML development, AION for AI lifecycle management), a combination not matched by most peers in this list. | 3.9 | Full comparison |
| Infosys | Global enterprises, large library of reusable AI assets. | Largest disclosed library of reusable, pre-trained AI assets in this comparison (12,000+ assets, 150+ pre-trained models), positioned to accelerate delivery versus fully bespoke builds. | 3.9 | Full comparison |
| Accenture | Largest global enterprises, AI within multi-year transformation. | By far the largest scale of any company in this comparison (approximately 779,000 employees, $69.67B FY2025 revenue), trading breadth and compliance maturity for less niche, hands-on model-engineering depth than boutique specialists. | 3.9 | Full comparison |
| Devbridge (a Cognizant company) | Clients wanting Devbridge's model within Cognizant's structure. | The clearest ownership-change disclosure in this comparison: a formerly independent boutique now operating explicitly as a Cognizant subsidiary, combining boutique delivery heritage with large-parent-company backing. | 3.8 | Full comparison |
Modus Create FAQ
What is Modus Create?
Modus Create is a fully remote, distributed product engineering company founded in 2011 and headquartered in Reston, Virginia, with team members spread across more than 55 countries. The company's AI/ML and data engineering practice includes AI Strategy Roadmap assessments and AI Data Foundation assessments intended to ensure underlying data is reliable and properly governed before or alongside model development work. Modus Create has partnered with technology providers including Atlassian, GitHub, and AWS, and has been recognized on the Inc. 5000 list for nine consecutive years.
How much does Modus Create charge?
Modus Create uses not published; project and dedicated team pricing. Minimum engagement starts at Not published. A discovery call is required to get project-specific quotes.
What tech stack does Modus Create use?
Modus Create works with Python, AWS, Data governance tooling, Cloud ML platforms. Primary industries served include Technology/SaaS, Retail, Healthcare.
Is Modus Create right for enterprise?
Distributed orgs, remote-first data plus AI/ML delivery. 501–1,000 team size. Key consideration: AI/ML is one of several product engineering service lines rather than the company's sole specialization.
What are the best Modus Create alternatives?
The best alternatives to Modus Create depend on your use case. Top options are:
- Tensorway: combines classical statistical forecasting with deep learning rather than defaulting to deep learning alone, and ships with experiment tracking and monitoring built in.
- Neurons Lab: end-to-end delivery model from use-case scoping to continuous production support, with declared depth in financial services.
- DataRoot Labs: has never diversified beyond ai/ml services, and backs its delivery bench with an in-house ml training program (dataroot university).
Compare Modus Create with other ML Model Development companies
Modus Create vs Tensorway Modus Create vs Neurons Lab Modus Create vs DataRoot Labs Modus Create vs Miquido Modus Create vs Provectus Modus Create vs Neoteric Modus Create vs Addepto Modus Create vs N-iX Modus Create vs InData Labs Modus Create vs MobiDev Modus Create vs Sciforce Modus Create vs Sigmoid Modus Create vs Tredence Modus Create vs Quantiphi Modus Create vs Sigma Software Group Modus Create vs Intellectsoft Modus Create vs ELEKS Modus Create vs Fractal Analytics Modus Create vs Xebia Modus Create vs Grid Dynamics Modus Create vs Iterate.ai Modus Create vs Aptus Data Labs Modus Create vs SoftServe Modus Create vs DataRobot Modus Create vs Persistent Systems Modus Create vs EPAM Systems Modus Create vs Globant Modus Create vs LTIMindtree Modus Create vs Cognizant Modus Create vs HCLTech Modus Create vs Infosys Modus Create vs Accenture Modus Create vs Devbridge (a Cognizant company)