10Pearls
AI-native engineering firm with 1,400+ experts recognized four times on CRN Solution Provider 500.
Founded 2004 | Vienna, VA, USA | 1,400+ employees | Last updated: July 2026
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What is 10Pearls?
10Pearls is an AI-powered digital engineering company founded in 2004 and headquartered in Vienna, Virginia, in the Washington DC metro area. The company employs 1,400+ experts across North America, Latin America, Europe, and South Asia, and has been recognized four consecutive times on the CRN Solution Provider 500 list for enterprise AI delivery. 10Pearls serves enterprise and government clients in healthcare, financial services, and logistics with a focus on ML, cloud architecture, and cybersecurity-aware AI development.
10Pearls was founded in 2004 and is headquartered in Vienna, VA, USA. The firm employs 1,400+ people and works primarily with clients in healthcare, financial services, government, retail, logistics sectors. Its primary differentiator is: AI-native engineering culture with four CRN Solution Provider 500 recognitions and 1,400+ experts spanning North America and LATAM for enterprise AI programmes.
10Pearls tech stack and services
PythonTensorFlowPyTorchAWS SageMakerAzure MLOpenAIDockerKubernetesApache SparkTerraform
| Service area | Details |
|---|---|
| Federal government AI programme delivery with security clearance-compatible development practices | Available for healthcare, financial services, government, retail, logistics clients |
| Healthcare ML development for clinical analytics under HIPAA constraints | Available for healthcare, financial services, government, retail, logistics clients |
| Financial services ML for fraud detection and regulatory reporting automation | Available for healthcare, financial services, government, retail, logistics clients |
| Predictive analytics platform build for logistics optimization | Available for healthcare, financial services, government, retail, logistics clients |
| Generative AI integration into enterprise knowledge management or internal tooling | Available for healthcare, financial services, government, retail, logistics clients |
10Pearls use cases
Short answer: 10Pearls is best suited for uS-based enterprises and government contractors needing AI-native delivery teams with North American proximity, government sector experience, and LATAM delivery capacity.
| Use case | Industries | Approach |
|---|---|---|
| Federal government AI programme delivery with security clearance-compatible development practices | healthcare, financial services | Python, TensorFlow |
| Healthcare ML development for clinical analytics under HIPAA constraints | healthcare, financial services | Python, TensorFlow |
| Financial services ML for fraud detection and regulatory reporting automation | healthcare, financial services | Python, TensorFlow |
| Predictive analytics platform build for logistics optimization | healthcare, financial services | Python, TensorFlow |
| Generative AI integration into enterprise knowledge management or internal tooling | healthcare, financial services | Python, TensorFlow |
10Pearls pricing
Short answer: 10Pearls uses a fixed project, dedicated team, t&m 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 |
| T&M | Variable; depends on team size | Large programmes or team augmentation |
10Pearls does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
10Pearls pros and cons
| Advantages | Things to consider |
|---|---|
| +CRN Solution Provider 500 recognition (four times) independently validates enterprise AI delivery track record | -Less specialist ML boutique depth for highly complex model architecture challenges |
| +Washington DC metro HQ well suited for US federal government ML programmes | -Government and healthcare focus means less consumer-facing ML or retail AI breadth |
| +LATAM delivery centers enable nearshore agility in US time zones at competitive rates | -Minimum engagement ($30K) is on the higher end for US-based firms of this size |
| +AI-native culture — ML is embedded in the engineering culture, not a separate practice | |
| +Cybersecurity-aware AI development important for government and healthcare buyers |
10Pearls vs alternatives
How 10Pearls compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Teams needing a dedicated ML specialist boutique with... | ML-only focus with a dedicated specialist team backed by 25 years of Anadea software delivery infrastructure — unusually deep for a firm of this size | 4.8 | Full comparison |
| LeewayHertz | Enterprises seeking end-to-end AI/ML product delivery with a... | Product-centric AI delivery culture with verified Fortune 500 client references including ESPN, Siemens, and 3M — now operating within The Hackett Group | 4.6 | Full comparison |
| InData Labs | Mid-market organizations with specific, complex ML problems requiring... | Pure-play ML boutique with a measurably higher specialist-to-generalist ratio than typical service firms, confirmed by Clutch as a top AI service provider | 4.5 | Full comparison |
| HatchWorks AI | Companies seeking AI-native teams that embed generative AI... | Clutch #1 AI Services Company with a proprietary Generative Driven Development methodology claimed to reduce delivery time by 30–50% (per company website; independently unverifiable) | 4.4 | Full comparison |
| STX Next | Organizations that need ML models operationalized inside complete... | Europe's largest Python-specialist firm uniquely positioned to embed ML into production software without the integration friction that plagues pure-play ML boutiques | 4.3 | Full comparison |
| Tredence | Enterprise teams that need last-mile ML adoption —... | Industry-specific AI accelerators and a proven focus on last-mile ML adoption, closing the execution gap between data science output and real business value | 4.3 | Full comparison |
| Addepto | Mid-market companies in finance, energy, or retail needing... | End-to-end AI/ML delivery with particular sector depth in financial services and energy — industries that require compliance sophistication alongside technical capability | 4.2 | Full comparison |
| DataForest | Data-first companies needing robust data engineering infrastructure as... | Data engineering-first approach builds pipeline and data quality foundations before model development, addressing the root cause of most ML project failures | 4.2 | Full comparison |
| Forte Group | Organizations needing the engineering discipline of a larger... | Structured AI service lines with Tier 1 delivery rigor and specialist consultancy agility — serving organizations that need both without enterprise-tier pricing | 4.1 | Full comparison |
| Binariks | Healthcare, fintech, and insurance organizations needing ML built... | Compliance-first ML engineering for regulated industries — governance and audit trails are built in from the architecture stage, not retrofitted after launch | 4.1 | Full comparison |
| Softeq | Hardware manufacturers and industrial companies needing ML integrated... | Unique capability to combine hardware design expertise with ML engineering, deploying models at the edge where cloud-only ML firms cannot operate | 4.1 | Full comparison |
| Markovate | Retail, travel, and fitness platforms needing ML-powered recommendation... | 300+ delivered projects spanning recommendation systems, computer vision, and dynamic pricing, with deeper consumer-facing ML specialization than most comparably sized firms | 4.0 | Full comparison |
| ScienceSoft | Established enterprises needing ML consulting from a vendor... | 35+ years of enterprise delivery experience with a mature ML practice — providing compliance readiness, institutional knowledge, and process maturity rare in younger ML-focused competitors | 4.0 | Full comparison |
| Miquido | Product teams needing ML embedded inside polished digital... | Google-certified AI/ML capability paired with strong product design — clients receive ML that works inside well-crafted user experiences, not bolted-on algorithms | 4.0 | Full comparison |
| Simform | Industrial and enterprise companies needing cloud-native ML on... | AWS Premier Partner with 1,000+ engineers and documented depth in industrial IoT ML — connecting physical sensor streams to cloud ML inference at production scale | 3.9 | Full comparison |
| Intuz | Small and mid-size businesses needing custom AI/ML solutions... | 1,700+ project track record with a discovery-first engagement model making enterprise-grade ML accessible to SMBs through risk-reduced fixed-price POC phases | 3.9 | Full comparison |
| Scopic | Organizations needing fully custom ML engineering with 20+... | 20+ years as a distributed software company gives Scopic strong custom ML engineering discipline with confirmed production deployments across transportation and healthcare | 3.9 | Full comparison |
| N-iX | Enterprises needing large-scale ML engineering capacity in Eastern... | 2,400+ engineers with deep specialization in scalable AI architectures, able to field large dedicated teams for complex multi-year ML programmes at competitive Eastern European rates | 3.9 | Full comparison |
| Oxagile | Media, AdTech, and sports companies needing ML with... | 20+ years of video domain expertise uniquely positions Oxagile for ML use cases involving video understanding, visual search, and real-time video analytics | 3.8 | Full comparison |
| Innowise | Regulated industry organizations — banking, agriculture, healthcare —... | Cross-vertical ML delivery with documented case studies in banking automation, agricultural forecasting, and healthcare diagnostics — unusual breadth across regulated industries | 3.9 | Full comparison |
| Intellectsoft | Enterprises in fintech, healthcare, and construction needing ML... | Palo Alto HQ with 10 global delivery offices combining US-based account management with competitive Eastern European delivery rates for enterprise ML programmes | 3.8 | Full comparison |
| DataRoot Labs | Startups and scale-ups needing AI strategy alongside execution,... | One of Ukraine's most recognized ML consultancies — combining strategy-level AI advisory with hands-on engineering, a combination rare at this team size and price point | 3.8 | Full comparison |
| Itransition | Enterprises needing ML integrated into complex legacy software... | 25+ years of enterprise software delivery with five dedicated R&D labs, giving clients a mature delivery operation with advanced ML research support at competitive rates | 3.9 | Full comparison |
| Coherent Solutions | Midwest enterprises and Microsoft-stack organizations needing ML capabilities... | Ranked #1 IT consulting firm in the Twin Cities five times in six years with 2,000+ engineers across 10 development centers, offering enterprise ML at competitive rates | 3.8 | Full comparison |
| Iflexion | US-based organizations needing ML integrated into complete custom... | 25 years of enterprise software delivery with 850+ professionals embedding ML into complete systems rather than delivering standalone models that require separate integration work | 3.7 | Full comparison |
| Appinventiv | Global businesses needing mobile-first ML delivery at scale... | 1,600+ specialists with a mobile-first AI approach and global footprint delivering 1,000+ digital assets with embedded ML — strong for consumer-facing AI product work | 3.8 | Full comparison |
| Avenga | Large enterprises in telco, banking, or automotive needing... | 6,000+ specialists across 44 delivery centers formed through PE-backed acquisitions, providing enterprise-scale AI delivery capacity — though cultural integration across legacy entities is ongoing | 3.7 | Full comparison |
| BairesDev | Companies needing rapid ML team scale-up using LATAM... | 4,000+ ML-capable LATAM engineers in US time zones with 1,200+ completed projects, enabling rapid scale-up for organizations that need to grow their ML capacity fast | 3.7 | Full comparison |
| Turing | Teams that need to extend their ML engineering... | AI-powered vetting platform screening 3M+ global ML developers to place the top 1% directly in client engineering teams at rates competitive with US in-house hiring | 3.7 | Full comparison |
| EPAM Systems | Large enterprises requiring ML at Fortune 500 scale... | 62,000+ engineers across 50+ countries delivering ML inside a full-service technology engineering operation — unmatched scale and compliance depth for global enterprise AI programmes | 3.9 | Full comparison |
10Pearls FAQ
What is 10Pearls?
10Pearls is an AI-powered digital engineering company founded in 2004 and headquartered in Vienna, Virginia, in the Washington DC metro area. The company employs 1,400+ experts across North America, Latin America, Europe, and South Asia, and has been recognized four consecutive times on the CRN Solution Provider 500 list for enterprise AI delivery. 10Pearls serves enterprise and government clients in healthcare, financial services, and logistics with a focus on ML, cloud architecture, and cybersecurity-aware AI development.
How much does 10Pearls charge?
10Pearls uses fixed project, dedicated team, t&m pricing. Minimum engagement starts at $30K. A discovery call is required to get project-specific quotes.
What tech stack does 10Pearls use?
10Pearls works with Python, TensorFlow, PyTorch, AWS SageMaker, Azure ML, OpenAI, Docker, Kubernetes, Apache Spark, Terraform. Primary industries served include healthcare, financial services, government, retail, logistics.
Is 10Pearls right for enterprise?
US-based enterprises and government contractors needing AI-native delivery teams with North American proximity, government sector experience, and LATAM delivery capacity. 1,400+ team size. Key consideration: Less specialist ML boutique depth for highly complex model architecture challenges.
What are the best 10Pearls alternatives?
The best alternatives to 10Pearls depend on your use case. Top options are:
- Tensorway: ml-only focus with a dedicated specialist team backed by 25 years of anadea software delivery infrastructure — unusually deep for a firm of this size
- LeewayHertz: product-centric ai delivery culture with verified fortune 500 client references including espn, siemens, and 3m — now operating within the hackett group
- InData Labs: pure-play ml boutique with a measurably higher specialist-to-generalist ratio than typical service firms, confirmed by clutch as a top ai service provider
Compare 10Pearls with other Machine Learning Development companies
10Pearls vs Tensorway 10Pearls vs LeewayHertz 10Pearls vs InData Labs 10Pearls vs HatchWorks AI 10Pearls vs STX Next 10Pearls vs Tredence 10Pearls vs Addepto 10Pearls vs DataForest 10Pearls vs Forte Group 10Pearls vs Binariks 10Pearls vs Softeq 10Pearls vs Markovate 10Pearls vs ScienceSoft 10Pearls vs Miquido 10Pearls vs Simform 10Pearls vs Intuz 10Pearls vs Scopic 10Pearls vs N-iX 10Pearls vs Oxagile 10Pearls vs Innowise 10Pearls vs Intellectsoft 10Pearls vs DataRoot Labs 10Pearls vs Itransition 10Pearls vs Coherent Solutions 10Pearls vs Iflexion 10Pearls vs Appinventiv 10Pearls vs Avenga 10Pearls vs BairesDev 10Pearls vs Turing 10Pearls vs EPAM Systems
Last reviewed: July 2026. Verify all details directly with 10Pearls before making a decision.