Intellectsoft
Custom software and AI engineering company founded in 2007, headquartered in New York.
Founded 2007 | New York, USA | 51–200 employees | Last updated: July 2026
custom-model-trainingml-infrastructuredata-engineering-ml
What is Intellectsoft?
Intellectsoft is a custom software and AI engineering company founded in 2007, headquartered in New York with additional offices across the US, UK, Norway, Ukraine, and Latin America. The company reports more than 150 engineers, architects, and consultants across ten global offices, and operates a dedicated AI Lab offering full-cycle custom AI model development including data science research, training, validation, and testing, along with infrastructure management for ML workloads. Publicly named clients include EY, Harley-Davidson, Jaguar Motors, Universal Pictures, the London Stock Exchange, Qualcomm, and Bombardier.
Intellectsoft was founded in 2007 and is headquartered in New York, USA. The firm employs 51–200 people and works primarily with clients in Financial services, Automotive, Media and entertainment, Manufacturing sectors. Its primary differentiator is: Unusually strong roster of large, publicly named enterprise clients (EY, Qualcomm, London Stock Exchange) for a company of its relatively modest team size..
Intellectsoft tech stack and services
PythonML infrastructure/orchestration toolingCloud platforms (AWS/Azure/GCP)
| Service area | Details |
|---|---|
| Building a custom ML model end-to-end, from data science research through validation and deployment | Available for Financial services, Automotive, Media and entertainment, Manufacturing clients |
| Managing infrastructure for existing ML workloads at an enterprise client | Available for Financial services, Automotive, Media and entertainment, Manufacturing clients |
| Engaging a boutique team with proven Fortune 500-adjacent client experience | Available for Financial services, Automotive, Media and entertainment, Manufacturing clients |
| Running a fixed-scope AI Lab engagement alongside broader software modernization work | Available for Financial services, Automotive, Media and entertainment, Manufacturing clients |
Intellectsoft use cases
Short answer: Intellectsoft is best suited for companies wanting an enterprise-name client roster and a dedicated AI Lab structure for custom model development within a smaller boutique team..
| Use case | Industries | Approach |
|---|---|---|
| Building a custom ML model end-to-end, from data science research through validation and deployment | Financial services, Automotive | Python, ML infrastructure/orchestration tooling |
| Managing infrastructure for existing ML workloads at an enterprise client | Financial services, Automotive | Python, ML infrastructure/orchestration tooling |
| Engaging a boutique team with proven Fortune 500-adjacent client experience | Financial services, Automotive | Python, ML infrastructure/orchestration tooling |
| Running a fixed-scope AI Lab engagement alongside broader software modernization work | Financial services, Automotive | Python, ML infrastructure/orchestration tooling |
Intellectsoft pricing
Short answer: Intellectsoft 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 |
Intellectsoft does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Intellectsoft pros and cons
| Advantages | Things to consider |
|---|---|
| +Named, verifiable enterprise clients including EY, Harley-Davidson, and the London Stock Exchange. | -Team size (150+ engineers/architects/consultants) is relatively modest for the scale of enterprise clients named. |
| +Dedicated AI Lab structure separates ML delivery from general software development. | -Pricing model and minimum engagement size are not published. |
| +Nearly two decades of continuous operation across multiple international offices. | -Specific ML/AI project outcomes for named clients are not always detailed publicly beyond the client list. |
| +44 Clutch reviews with recognition as a top Ukraine-based software developer for 2024. | -As a broader custom software company, AI/ML competes for delivery focus with other practice areas. |
Intellectsoft vs alternatives
How Intellectsoft compares to the other top ML Model Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market fintech, supply chain, and SaaS companies that... | 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 firms wanting a boutique, engineering-led partner... | 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 and mid-market companies wanting a senior, AI-only... | 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 that need ML/computer-vision capability bundled with broader... | 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 that need cloud data infrastructure and... | 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 feasibility/strategy phase before committing... | 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 that specifically need MLOps consulting or... | 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 wanting a large, heavily certified engineering... | 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 a focused predictive-analytics or computer-vision model... | Publishes concrete, quantified accuracy figures in its case studies rather than only qualitative outcome claims. | 4.3 | Full comparison |
| MobiDev | Small and mid-sized companies wanting a dedicated ML/data-science... | Historical Clutch #1 ranking for machine learning development (2021) combined with a specifically SME-oriented service model. | 4.3 | Full comparison |
| Sciforce | Companies needing a research-oriented boutique for NLP, digital... | 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 whose primary bottleneck is data infrastructure and... | 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 needing vertical-specific analytics and ML applied to... | 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 | Enterprises standardized on AWS wanting a partner with... | 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 large, diversified engineering group with... | Snowflake AI Data Cloud partnership combined with unusually broad industry diversification (AdTech through aviation to gaming). | 4.1 | Full comparison |
| ELEKS | Enterprises wanting a long-established European software engineering partner... | 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 wanting a scaled analytics and AI... | 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 wanting a large, engineering-craftsmanship-rooted consultancy that has... | 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 wanting the financial transparency and... | 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 | Data-sensitive enterprises (e.g., regulated industries) that require AI... | 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 |
| Modus Create | Distributed organizations wanting a remote-first partner that pairs... | Structured AI Data Foundation assessment methodology that explicitly evaluates data readiness before committing to model development. | 4.0 | Full comparison |
| Aptus Data Labs | Companies wanting a boutique, India-based data engineering and... | Combines core data engineering consulting with specific AWS AI service implementation expertise in a boutique-sized team. | 4.0 | Full comparison |
| SoftServe | Enterprises needing edge computer vision or asset-monitoring ML... | 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 that want to standardize on a single... | 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 and enterprise buyers wanting a publicly traded,... | 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 wanting a publicly traded, AWS... | 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 wanting industry-specific pre-packaged AI solutions ("AI... | 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 | Large enterprises, particularly in BFSI and technology/media sectors,... | 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 | Large enterprises, especially in healthcare, wanting a very... | 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 wanting a full-stack AI vendor... | 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 | Very large global enterprises wanting a substantial library... | 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 | The largest global enterprises needing AI model development... | 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 who want Devbridge's original product-engineering delivery model... | 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 |
Intellectsoft FAQ
What is Intellectsoft?
Intellectsoft is a custom software and AI engineering company founded in 2007, headquartered in New York with additional offices across the US, UK, Norway, Ukraine, and Latin America. The company reports more than 150 engineers, architects, and consultants across ten global offices, and operates a dedicated AI Lab offering full-cycle custom AI model development including data science research, training, validation, and testing, along with infrastructure management for ML workloads. Publicly named clients include EY, Harley-Davidson, Jaguar Motors, Universal Pictures, the London Stock Exchange, Qualcomm, and Bombardier.
How much does Intellectsoft charge?
Intellectsoft 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 Intellectsoft use?
Intellectsoft works with Python, ML infrastructure/orchestration tooling, Cloud platforms (AWS/Azure/GCP). Primary industries served include Financial services, Automotive, Media and entertainment, Manufacturing.
Is Intellectsoft right for enterprise?
Companies wanting an enterprise-name client roster and a dedicated AI Lab structure for custom model development within a smaller boutique team.. 51–200 team size. Key consideration: Team size (150+ engineers/architects/consultants) is relatively modest for the scale of enterprise clients named..
What are the best Intellectsoft alternatives?
The best alternatives to Intellectsoft 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 Intellectsoft with other ML Model Development companies
Intellectsoft vs Tensorway Intellectsoft vs Neurons Lab Intellectsoft vs DataRoot Labs Intellectsoft vs Miquido Intellectsoft vs Provectus Intellectsoft vs Neoteric Intellectsoft vs Addepto Intellectsoft vs N-iX Intellectsoft vs InData Labs Intellectsoft vs MobiDev Intellectsoft vs Sciforce Intellectsoft vs Sigmoid Intellectsoft vs Tredence Intellectsoft vs Quantiphi Intellectsoft vs Sigma Software Group Intellectsoft vs ELEKS Intellectsoft vs Fractal Analytics Intellectsoft vs Xebia Intellectsoft vs Grid Dynamics Intellectsoft vs Iterate.ai Intellectsoft vs Modus Create Intellectsoft vs Aptus Data Labs Intellectsoft vs SoftServe Intellectsoft vs DataRobot Intellectsoft vs Persistent Systems Intellectsoft vs EPAM Systems Intellectsoft vs Globant Intellectsoft vs LTIMindtree Intellectsoft vs Cognizant Intellectsoft vs HCLTech Intellectsoft vs Infosys Intellectsoft vs Accenture Intellectsoft vs Devbridge (a Cognizant company)
Last reviewed: July 2026. Verify all details directly with Intellectsoft before making a decision.