Intellectsoft
New York-headquartered custom software and AI engineering firm founded in 2007, with named enterprise clients.
What is Intellectsoft?
Intellectsoft is a custom software development and AI engineering company founded in 2007, headquartered in New York with additional offices including Palo Alto and Miami. Reported team size varies notably by source, from roughly 150 engineers across 10 offices to 800 total employees, and the company names enterprise clients including EY, Harley-Davidson, the London Stock Exchange, Qualcomm, Jaguar, and Guinness (per company website; independently unverifiable exact scope of each engagement).
Intellectsoft was founded in 2007 and is headquartered in New York, USA. The firm employs 201–500 people and works primarily with clients in Financial Services, Automotive, Manufacturing, Retail sectors. Its primary differentiator is: Named enterprise client roster (EY, Harley-Davidson, London Stock Exchange, Qualcomm, Jaguar) rare among mid-size firms on this list..
Intellectsoft tech stack and services
| Service area | Details |
|---|---|
| Enterprises wanting AI-powered application development from a firm with recognizable brand-name client history | Available for Financial Services, Automotive, Manufacturing, Retail clients |
| Automotive or financial-services clients needing custom software with an embedded AI component | Available for Financial Services, Automotive, Manufacturing, Retail clients |
| Companies wanting proof of enterprise-grade delivery before a large AI/ML commitment | Available for Financial Services, Automotive, Manufacturing, Retail clients |
Intellectsoft use cases
Short answer: Intellectsoft is best suited for enterprises wanting AI-powered application development from a firm with named, recognizable enterprise client history..
| Use case | Industries | Approach |
|---|---|---|
| Enterprises wanting AI-powered application development from a firm with recognizable brand-name client history | Financial Services, Automotive | Python, TensorFlow |
| Automotive or financial-services clients needing custom software with an embedded AI component | Financial Services, Automotive | Python, TensorFlow |
| Companies wanting proof of enterprise-grade delivery before a large AI/ML commitment | Financial Services, Automotive | Python, TensorFlow |
Intellectsoft pricing
Short answer: Intellectsoft uses a fixed project and dedicated team pricing approach. Minimum engagement starts at $30K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $30K | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
Intellectsoft pros and cons
| Advantages | Things to consider |
|---|---|
| +18 years of operating history with named, verifiable-brand enterprise clients rather than only anonymized case studies | -Reported headcount varies unusually widely by source (150 to 800), warranting direct confirmation of current team size |
| +AI applied 'as an engineering practice' across the delivery lifecycle rather than bolted on as a separate service | -AI/ML is positioned as an engineering practice enhancement rather than the firm's sole specialization |
| +Multi-office US presence (New York, Palo Alto, Miami) supports domestic client proximity | -Named clients don't specify which were AI/ML-specific engagements versus broader software development work |
| +Cited 40% faster delivery claim tied to AI-driven engineering practices (per company website; independently unverifiable) |
Intellectsoft vs alternatives
How Intellectsoft 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 |
| Tredence | Retail, CPG, and industrials companies wanting industry-contextualized data... | Deep vertical focus applying AI specifically within retail, CPG, and industrials contexts rather than horizontal AI consulting. | 4.2 | 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 |
| 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 |
Intellectsoft FAQ
What is Intellectsoft?
Intellectsoft is a custom software development and AI engineering company founded in 2007, headquartered in New York with additional offices including Palo Alto and Miami. Reported team size varies notably by source, from roughly 150 engineers across 10 offices to 800 total employees, and the company names enterprise clients including EY, Harley-Davidson, the London Stock Exchange, Qualcomm, Jaguar, and Guinness (per company website; independently unverifiable exact scope of each engagement).
How much does Intellectsoft charge?
Intellectsoft uses fixed project and dedicated team pricing. Minimum engagement starts at $30K. A discovery call is required to get project-specific quotes.
What tech stack does Intellectsoft use?
Intellectsoft works with Python, TensorFlow, AWS, Azure. Primary industries served include Financial Services, Automotive, Manufacturing, Retail.
Is Intellectsoft right for enterprise?
Enterprises wanting AI-powered application development from a firm with named, recognizable enterprise client history.. 201–500 team size. Key consideration: Reported headcount varies unusually widely by source (150 to 800), warranting direct confirmation of current team size.
What are the best Intellectsoft alternatives?
The best alternatives to Intellectsoft 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 Intellectsoft with other Machine Learning Development agencies
Last reviewed: July 2026. Verify all details directly with Intellectsoft before making a decision.