Best ScienceSoft alternatives in 2026

Tensorway is an AI engineering company founded in 2019 and based in Alicante, Spain, with more than 20 years of software engineering experience in its leadership and delivery processes. Its staff-augmentation service places ML engineers, LLM engineers, AI agent developers, MLOps engineers, computer-vision and NLP specialists, data engineers and RAG specialists directly into a client's own team, where they work in the client's Slack, Jira and repositories. Candidates are screened by senior AI engineers through a code review, a practical task in their specialization and a communication check, so the client receives a shortlist of two or three people that is already technically vetted. Tensorway handles contracts and admin; the first engineer typically starts within one to two weeks and a full squad within three to four weeks (per company website; independently unverifiable). One published case study describes a U.S. law practice, Liner Legal, cutting medical-record processing from about a week to 5–15 minutes (per company website; independently unverifiable).

How it differs from ScienceSoft: Engineer-led screening with a free replacement if a hire doesn't fit. While ScienceSoft excels at senior data scientists with a published hiring timeline, Tensorway is better for product teams adding AI engineers fast, two-week trial.

deepsense.ai was founded in 2014 in Warsaw, Poland, and keeps a second office in Palo Alto. It is an AI-first company whose work spans generative AI, LLMs, retrieval-augmented generation, MLOps, computer vision and edge AI. Its team-augmentation offer draws on a staff of more than 100 data scientists, data engineers and software engineers, a group that includes Kaggle competition winners and PhD holders (per company website; independently unverifiable). Clutch reviewers describe engineers who integrate with in-house teams and add capacity on strategic projects.

How it differs from ScienceSoft: Research-grade data scientists available as embedded team members. While ScienceSoft excels at senior data scientists with a published hiring timeline, deepsense.ai is better for research-heavy ML problems, senior data scientists.

BairesDev was founded in 2009 in Buenos Aires and lists its headquarters in San Francisco. It employs its own engineers across Latin America, with more than 4,000 on staff according to the company; LinkedIn places it in the 1,001–5,000 employee band. Its staff-augmentation service typically stands up teams in about two weeks, and a separate AI-augmented engineer option targets teams in two to four weeks (per company website; independently unverifiable). Engineers work U.S.-aligned hours, which is the main reason hiring managers in North America choose it over Eastern European firms.

How it differs from ScienceSoft: Largest employed LatAm engineering bench on this list. While ScienceSoft excels at senior data scientists with a published hiring timeline, BairesDev is better for U.S. companies needing several engineers in American time zones.

Azumo was founded in San Francisco in 2016 by former investment banker Chike Agbai, whose first client was Twitter. Its engineers are based in more than 20 Latin American countries and work U.S. hours. The company sells three formats: staff augmentation alongside an existing team, dedicated teams, and project delivery, and its recent hiring is weighted toward generative-AI, agent and forward-deployed engineering roles. Headcount estimates range from about 80 to just over 100 depending on the source.

How it differs from ScienceSoft: Nearshore staffing with a hiring focus on GenAI and agent roles. While ScienceSoft excels at senior data scientists with a published hiring timeline, Azumo is better for startups adding GenAI engineers on U.S. hours.

InData Labs was founded in 2014 and is headquartered in Nicosia, Cyprus, with offices in Vilnius and Miami. Its services include AI research and development, generative AI, predictive analytics, computer vision, data engineering, and a dedicated-team or staff-augmentation option. Clutch lists it as a certified AWS partner with 50–249 employees. Clutch reviewers single out its data-science and ML engineering skills.

How it differs from ScienceSoft: Data scientists and data engineers from one AI-only company. While ScienceSoft excels at senior data scientists with a published hiring timeline, InData Labs is better for data-science-heavy teams, AWS-based ML work.

MobiDev was founded in 2009 in Kharkiv, Ukraine, opened its first U.S. office in Atlanta in 2011, and now runs R&D centers in Ukraine and Łódź, Poland. Its AI team-augmentation offer starts at a single full-time engineer and quotes up to two weeks to allocate someone (per company website; independently unverifiable). The company says 89% of its engineers are middle or senior level and reports more than 65 AI and ML products built, mainly for retail, hospitality, fitness and health clients. Headcount figures range from 201–500 on aggregators to 400+ on a regional IT directory.

How it differs from ScienceSoft: Long AI product record in retail, hospitality and fitness. While ScienceSoft excels at senior data scientists with a published hiring timeline, MobiDev is better for retail and fitness products, one AI engineer to start.

Uvik Software was founded in 2015 and is headquartered in Tallinn, Estonia, with a commercial office in Ipswich, UK. It places senior Python engineers, individually or in squads of about three to eight, into client teams, and its recent work leans toward data platforms, LLM features and AI agents. The company says matched profiles arrive within 48 hours and an engineer can be working within about two weeks (per company website; independently unverifiable). Its own pages give conflicting headcounts, from 50+ to 200+ engineers.

How it differs from ScienceSoft: Python-only bench with published entry-level rates. While ScienceSoft excels at senior data scientists with a published hiring timeline, Uvik Software is better for python-heavy AI products, quick shortlist.

N-iX started in Lviv, Ukraine, in 2002 and now reports about 2,400 professionals across more than 25 countries in Europe and the Americas. Staff augmentation sits alongside managed teams and full-solution delivery as one of its three cooperation models, and its AI and machine-learning practice is supported by data-engineering and cloud groups. Clutch reviewers describe it as quick to scale teams and good at integrating developers into existing groups. It serves more than 80 active enterprise clients according to a 2026 company overview.

How it differs from ScienceSoft: Formal staff-augmentation model backed by a 2,400-person bench. While ScienceSoft excels at senior data scientists with a published hiring timeline, N-iX is better for enterprises scaling data and ML teams in Europe.

BEON.tech was founded in 2018 and is based in Buenos Aires, Argentina. It provides long-term staff augmentation with senior Latin American engineers for U.S. companies, covering AI engineering, data science, web and mobile development and QA. Its AWS Marketplace listing describes AI work with Amazon SageMaker and Bedrock. Vetting includes technical assessments, English checks and a culture-fit review, and the company claims more than 100 client partnerships (per company website; independently unverifiable).

How it differs from ScienceSoft: Senior-only LatAm placements with AWS Bedrock experience. While ScienceSoft excels at senior data scientists with a published hiring timeline, BEON.tech is better for U.S. scale-ups hiring long-term LatAm AI engineers.

Xenoss was founded in 2013 by ad-tech veterans led by CEO Dmitry Sverdlik and is based in New York, with offices in London and Kyiv. It describes itself as a specialized AI and data-engineering company, and Clutch places it in the 50–249 employee band. Client reviews describe staff augmentation in practice: one London ad-tech client hired Xenoss after failing to find engineers locally, and Xenoss sourced candidates from Ukraine and integrated them into the in-house team. Its background in high-throughput ad-tech systems shows in its data-engineering work.

How it differs from ScienceSoft: Data engineers with ad-tech throughput experience. While ScienceSoft excels at senior data scientists with a published hiring timeline, Xenoss is better for ad-tech and high-volume data teams.

Svitla Systems was founded in 2003 and is headquartered in Corte Madera, California, with delivery centers that include Guadalajara and Kraków. The company cites more than 1,000 consultants, though one data aggregator estimates closer to 650 employees. Its services list includes AI, machine learning and big data, and in March 2026 it announced a Cloudera partnership aimed at governed data environments for AI in regulated sectors. Clutch reviews repeatedly mention team augmentation, while a few clients note uneven vetting for senior roles.

How it differs from ScienceSoft: Two decades of team augmentation across LatAm and Europe. While ScienceSoft excels at senior data scientists with a published hiring timeline, Svitla Systems is better for companies wanting both Mexican and Polish delivery options.

Mobilunity was founded in 2010 in Kyiv, Ukraine, and builds dedicated development teams by recruiting engineers specifically for each client. A company-affiliated post describes about 150 people on full-time client teams, plus a pool of part-time consultants for short skill gaps. It recruits AI roles on request; one recent DOU posting sought an LLM and generative-AI data scientist on behalf of a U.S. client. Third-party directories list average rates of $25–$49 per hour.

How it differs from ScienceSoft: Recruits each hire to your spec at one of the lower rate bands here. While ScienceSoft excels at senior data scientists with a published hiring timeline, Mobilunity is better for budget-conscious teams hiring a dedicated AI developer.

Vention traces its history to 2002 and is headquartered in New York, with European hubs including Berlin, Vienna, Łódź and Tbilisi. Clutch places it in the 1,000–9,999 employee band and describes a pool of more than 3,000 developers. Its AI page cites more than 100 AI professionals across MLOps, NLP, computer vision and generative AI, CVs within 48 hours and a project start within 14 days of signing (per company website; independently unverifiable). Clients can start with one developer and get a delivery manager and client partner at no extra charge.

How it differs from ScienceSoft: Fast CV turnaround with a free delivery manager. While ScienceSoft excels at senior data scientists with a published hiring timeline, Vention is better for startups and scale-ups wanting CVs within two days.

Neoteric was founded in 2005 and is based in Gdańsk, Poland, with 50–249 employees according to Clutch. It positions itself as a technology partner for new digital products and generative-AI adoption, and Clutch reviewers describe it working as an extension of their own staff through shared Slack, Jira and daily stand-ups. Past AI work includes a proof of concept for an AI voice-management tool. Clutch lists hourly rates of $50–$99 and a $10,000 minimum project.

How it differs from ScienceSoft: Product-minded GenAI engineers with a low published minimum. While ScienceSoft excels at senior data scientists with a published hiring timeline, Neoteric is better for product teams adding GenAI to an existing app.

STX Next was founded in 2005 in Poznań, Poland, and runs delivery centers in Poland and Mexico. It describes itself as Europe's largest Python-focused engineering partner for data, AI and cloud (per company website; independently unverifiable), and Clutch places it in the 250–999 employee band. A Clutch review covers a 2023–2024 staff-augmentation engagement for a real-estate technology client involving machine learning, computer vision and recommendation systems. Other reviews describe multi-year Python team extensions.

How it differs from ScienceSoft: Large Python bench with documented ML staff-augmentation work. While ScienceSoft excels at senior data scientists with a published hiring timeline, STX Next is better for python product teams adding ML capacity.

10Clouds was founded in 2009 in Warsaw by Maciej Cielecki and others, and employs somewhere between 100 and 200 people depending on the source. It keeps an in-house product team and also supplies developers or designers to clients for fixed periods, a model it has used with U.S. clients such as Rippling. In 2026 it announced a merger with 10Clouds Financial Institutions, creating an AI unit for banks, insurers and fintechs, and it is a Select partner in the Claude Partner Network services track.

How it differs from ScienceSoft: Financial-services AI focus with Claude partner status. While ScienceSoft excels at senior data scientists with a published hiring timeline, 10Clouds is better for Banks, insurers and fintechs building AI features.

Howdy.com was founded in Austin, Texas, in 2018 by Jacqueline Samira, with Frank Licea later joining as co-founder and CTO. Unlike a pure marketplace, it recruits, employs and supports its engineers, and it runs in-country hubs it calls Howdy Houses in Latin American cities. In August 2023 it acquired the Brazilian talent marketplace GeekHunter, citing rising demand for AI and ML skills. A 2026 industry ranking lists its fee as a flat 15% of the billed rate.

How it differs from ScienceSoft: Published 15% fee on top of the engineer's pay. While ScienceSoft excels at senior data scientists with a published hiring timeline, Howdy.com is better for teams that want transparent nearshore pricing.

Toptal was founded in 2010 by Taso Du Val and Breanden Beneschott as a fully remote company with no headquarters office; it is registered in the United States. It is a curated freelance marketplace, which means its engineers are independent contractors rather than employees. Its AI offering covers ML, generative AI, NLP and LLM application developers, and the company says it can match an AI engineer in about 48 hours and cites a 98% trial-to-hire rate (per company website; independently unverifiable). Third-party sources report rates from roughly $60 to over $150 an hour plus an initial deposit.

How it differs from ScienceSoft: Fast access to screened freelancers with a no-risk trial. While ScienceSoft excels at senior data scientists with a published hiring timeline, Toptal is better for short engagements with a senior freelance specialist.

Turing was founded in 2018 by Jonathan Siddharth and Vijay Krishnan and lists its headquarters in Palo Alto, California. It began as a remote-developer matching platform and now has two businesses: a talent cloud that vets, matches and manages remote engineers, and AI services for frontier labs and enterprises. The company describes a network of millions of developers in more than 140 countries (per company website; independently unverifiable) and a Series E valuation of about $2.2 billion. Placed engineers are contractors sourced through the platform.

How it differs from ScienceSoft: Talent cloud tied to frontier-lab LLM training work. While ScienceSoft excels at senior data scientists with a published hiring timeline, Turing is better for companies wanting LLM-savvy contractors from a large pool.

Simform was founded in October 2010, lists its headquarters in Orlando, Florida, and runs most of its engineering from Ahmedabad, India. Employee estimates range from about 820 to 1,300 depending on the source. Its dedicated-team model is the core of the business, with AI/ML and agentic-AI work sold alongside cloud engineering. The company states it holds Microsoft Azure Expert MSP status (per company website; independently unverifiable).

How it differs from ScienceSoft: Azure-centered AI engineering at India delivery rates. While ScienceSoft excels at senior data scientists with a published hiring timeline, Simform is better for azure-based companies wanting a lower-cost dedicated AI team.

Innowise was officially established in 2007 and is headquartered in Warsaw, with offices in the U.S., Germany, the UK, Italy and the UAE. It reports about 3,500 IT professionals, all full-time employees according to CB Insights. The company describes itself as a software development and staff-augmentation company and says it can place people on a project within three to five days (per company website; independently unverifiable). AI and data science are part of a broad technology menu.

How it differs from ScienceSoft: Claimed three-to-five-day placement from an employed bench. While ScienceSoft excels at senior data scientists with a published hiring timeline, Innowise is better for enterprises needing many seats filled within days.

X-Team says it was founded in 2006 and operates as a fully remote company without a central office; one directory lists a 2020 date for its current Australian parent entity. It embeds long-term engineers and squads in client teams and lists clients such as Fox, Riot Games and Kaplan. Its AI developers cover Python, TensorFlow, PyTorch and LLM work, drawn from a pool it puts at more than 5,000 senior developers with retention of about 96–97% (per company website; independently unverifiable).

How it differs from ScienceSoft: Developer-community model aimed at long placements. While ScienceSoft excels at senior data scientists with a published hiring timeline, X-Team is better for media and gaming teams adding long-term remote developers.

Netguru was founded in 2008 and is based in Poznań, Poland, with 500–999 employees according to several directories. It is a certified B Corporation whose clients include IKEA, Volkswagen, OLX and Vinted. Staff augmentation and delivery centers are listed among its engagement models, and AI development is part of its service line next to mobile, web and design work.

How it differs from ScienceSoft: Design and product talent alongside AI engineers. While ScienceSoft excels at senior data scientists with a published hiring timeline, Netguru is better for consumer brands adding AI to digital products.

Intellias was founded in Lviv, Ukraine, in 2002 by Vitaliy Sedler and Mykhailo Puzrakov, received investment from Horizon Capital in 2018, and is now in the 1,000+ employee band. In 2026 it began embedding "AI Pods" in client engineering organizations, combining specialist engineers with AI agents that automate requirements, coding and QA. Gartner named it a Specialist in a 2026 report on physical-AI services, reflecting its automotive, ADAS and mobility work.

How it differs from ScienceSoft: Physical-AI and automotive engineering depth. While ScienceSoft excels at senior data scientists with a published hiring timeline, Intellias is better for automotive and mobility companies, embedded AI.

Andela was founded in 2014 in Lagos, Nigeria, as a training network for African software engineers and now operates as a U.S.-based global talent marketplace led by CEO Carrol Chang. Its talent cloud sources, assesses, hires, manages and pays engineers from more than 135 countries and places AI engineers into client teams. In January 2026 it acquired Woven, an engineering-assessment company, to strengthen how it evaluates AI-assisted development skills.

How it differs from ScienceSoft: Assessment tooling strengthened by the 2026 Woven acquisition. While ScienceSoft excels at senior data scientists with a published hiring timeline, Andela is better for distributed teams hiring vetted contractors worldwide.

DataArt was founded in New York in 1997 by Eugene Goland and now employs between 5,000 and 6,000 people across more than 40 locations. Its Dedicated Development Center model staffs a team that works on one client's project only. An AI/ML group is actively hiring, with recent roles including a lead AI/ML engineer for an HR copilot built for a French SaaS client.

How it differs from ScienceSoft: Dedicated development centers with nearly 30 years of history. While ScienceSoft excels at senior data scientists with a published hiring timeline, DataArt is better for financial and travel firms needing long-lived dedicated teams.

KORE1 was founded in 2005 and is headquartered in Irvine, California, serving clients in more than 30 U.S. metro areas. Unlike most companies on this list, it is a traditional staffing and recruiting firm: it places AI and ML engineers as contractors, contract-to-hire or direct employees of the client. It says it fills AI roles in an average of 17 days with 92% twelve-month retention (per company website; independently unverifiable).

How it differs from ScienceSoft: Direct-hire and contract-to-hire paths for AI roles. While ScienceSoft excels at senior data scientists with a published hiring timeline, KORE1 is better for U.S. companies that want to hire AI engineers onto payroll.

Revelo traces its start to late 2014 and is headquartered in Miami, with 251–500 employees according to one directory. It runs a platform of more than 400,000 Latin American developers and handles sourcing, compliance, local payroll and benefits, so clients can hire individuals or whole teams without opening a local entity. It has also moved into LLM post-training work, supplying developers for supervised fine-tuning and RLHF projects. It has raised more than $48 million from investors including Social Capital and Valor Capital Group.

How it differs from ScienceSoft: Payroll and compliance handled for LatAm hires. While ScienceSoft excels at senior data scientists with a published hiring timeline, Revelo is better for companies hiring LatAm developers without a local entity.

EPAM Systems was founded in 1993 and is headquartered in Newtown, Pennsylvania, with about 62,850 employees as of June 30, 2026, of whom roughly 56,650 work in delivery. It reports more than 5,700 Claude-certified engineers and set a target of 10,000, along with thousands of OpenAI- and Gemini-certified specialists. The company is targeting $600 million in AI-native services revenue for 2026. Its model is enterprise delivery, so individual staff augmentation usually sits inside a larger program.

How it differs from ScienceSoft: Scale, compliance maturity and vendor certifications. While ScienceSoft excels at senior data scientists with a published hiring timeline, EPAM Systems is better for global enterprises with large, compliance-heavy AI programs.

Globant was founded in Buenos Aires in 2003 and is incorporated in Luxembourg, with about 28,500 employees as of mid-2026. Since June 2025 it has sold AI Pods, a subscription priced on token consumption in which Globant experts supervise AI-agent workflows that produce software. In June 2026 it announced a multi-year alliance with Anthropic and joined the Claude Partner Network as a preferred services partner. The pod model is managed delivery, so buyers looking for classic seat-based staffing should ask about it specifically.

How it differs from ScienceSoft: Token-subscription pricing in place of seat-based staffing. While ScienceSoft excels at senior data scientists with a published hiring timeline, Globant is better for enterprises open to outcome-priced AI delivery.

Itransition was founded in 1998 and lists its U.S. headquarters in the Denver area, with Clutch describing more than 3,000 engineers working in 40 countries. Its strongest documented area is Microsoft technology: Dynamics 365, Power Platform and AI solutions on Azure. Staff augmentation appears in client reviews, though AI staffing is not marketed as a separate product line.

How it differs from ScienceSoft: AI work tied to the Microsoft business-application stack. While ScienceSoft excels at senior data scientists with a published hiring timeline, Itransition is better for microsoft-stack enterprises adding AI to Dynamics or Power Platform.

LeewayHertz was founded in 2007 and, while it historically marketed itself from San Francisco, does most of its engineering in India. The Hackett Group acquired it in September 2024 to add generative-AI solution and implementation work, including the ZBrain platform. It offers dedicated developers alongside project delivery, though its public material leads with platforms and consulting more than staffing.

How it differs from ScienceSoft: GenAI developers tied to the ZBrain platform. While ScienceSoft excels at senior data scientists with a published hiring timeline, LeewayHertz is better for companies already using The Hackett Group or ZBrain.