Tensorway
Editor's pick #1Alicante-based AI engineering firm that wires models into the CRM, ERP and data systems a company already runs
What is Tensorway?
Tensorway is an AI-first engineering company founded in 2019 and headquartered in Alicante, Spain, with a team of more than 50. Its integration work runs on top of existing platforms such as Salesforce, HubSpot, Dynamics 365, SAP, Oracle and NetSuite, so clients keep their systems of record and skip a migration. Requests pass through a single gateway that masks personal data before it reaches a model and limits each answer to documents the employee is already allowed to open. For Liner Legal, a U.S. law practice, it cut medical-record processing from roughly a week to 5–15 minutes and automated about four days of manual CRM reconciliation (per company website; independently unverifiable). The delivery leads behind it bring 20-plus years of business-software engineering to the work.
Tensorway works primarily with clients in Legal services, Financial services, Healthcare records, Retail & e-commerce, Private equity sectors. Its primary differentiator is: Integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call.
Tensorway tech stack and services
| Service area |
|---|
| CRM Integration |
| ERP Integration |
| LLM API Integration |
| Document Processing |
| PII & Access Controls |
| Fixed-Price Pilot |
| Managed Services |
Tensorway pricing
Short answer: Fixed price for the audit and pilot, then dedicated team or managed service; API run cost estimated during the pilot. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed-scope audit or pilot | From not disclosed | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Managed services | Variable; depends on team size | Large programmes or team augmentation |
Tensorway pros and cons
| Advantages | Things to consider |
|---|---|
| +Works against the systems you already own, and where a platform has no usable API it reads from database replicas, message queues or file exports | -No prices are published, so you only see a number after the scoping call |
| +Personal data is masked before a prompt leaves your perimeter, and answers respect the same document permissions the employee has today | -A team of 50+ has no round-the-clock global delivery footprint like the large integrators |
| +A one-week system audit produces an integration plan and ROI estimate before any build money is committed | -Its pages list no certifications and no named partner tier with an LLM provider or hyperscaler |
| +The first workflow goes live on real data in 2–4 weeks and is measured against the baseline taken during the audit | |
| +One gateway logs every request, enforces rate limits and tracks token spend per feature, which makes the monthly AI bill explainable |
Tensorway vs alternatives
How Tensorway compares to the other top AI Integration companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Provectus | AWS-based companies needing data work before AI. | Pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team | 4.6 | Full comparison |
| Slalom | Salesforce-centric enterprises, Data Cloud and Agentforce. | Partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack | 4.6 | Full comparison |
| Neurons Lab | Banks and insurers piloting agentic AI under regulation. | Financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation | 4.5 | Full comparison |
| TTMS | Pharma and regulated firms on Salesforce or Microsoft... | Adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules | 4.5 | Full comparison |
| Avanade | Microsoft-standardized enterprises rolling out Copilot. | A Microsoft-only practice of about 59,000 people covering Dynamics 365, Azure OpenAI and Copilot governance | 4.4 | Full comparison |
| deepsense.ai | Engineering teams wanting a strong RAG partner. | Research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets | 4.4 | Full comparison |
| Addepto | Data teams needing warehouse work before an LLM... | Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored | 4.3 | Full comparison |
| Vstorm | Teams wanting agents they will own and maintain. | Agent specialists who hand over a production system the client team can maintain without them | 4.3 | Full comparison |
| Quantiphi | Google Cloud estates, high-volume document AI. | Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments | 4.3 | Full comparison |
| Grid Dynamics | Retailers adding AI to commerce and supply chain... | Packaged agentic-commerce accelerators backed by a large engineering bench with public financial reporting | 4.3 | Full comparison |
| EPAM Systems | Large enterprises with Salesforce and SAP estates. | Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic | 4.3 | Full comparison |
| Accenture | Global enterprises with multi-country compliance needs. | Scale and compliance coverage across every major platform, region and regulator | 4.2 | Full comparison |
| Perficient | Marketing and service teams on Adobe or Salesforce. | Adds AI inside customer-experience platforms such as Adobe Experience Cloud, Salesforce and Microsoft | 4.2 | Full comparison |
| Azumo | Budget-conscious U.S. teams, time-zone-aligned. | U.S.-hours engineering from Argentina at a $25–$49 Clutch band with a $10,000 entry point | 4.2 | Full comparison |
| RTS Labs | U.S. mid-market firms with stalled AI pilots. | Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections | 4.2 | Full comparison |
| Thoughtworks | Engineering-led firms that value delivery practice. | Long-standing engineering discipline, testing and continuous delivery applied to AI features | 4.1 | Full comparison |
| InData Labs | Mid-size firms needing forecasting and data science. | Data-science-led team that builds predictive models alongside generative features | 4.1 | Full comparison |
| Master of Code Global | Consumer brands building chat and voice assistants. | Two decades of conversational design work for consumer brands, now applied to LLM-based assistants | 4.1 | Full comparison |
| Deloitte | Regulated enterprises needing audit-grade AI controls. | Risk and governance expertise next to SAP and Oracle integration teams in one firm | 4.1 | Full comparison |
| IBM Consulting | Enterprises already committed to IBM watsonx. | Prebuilt connectors in watsonx Orchestrate plus IBM's own governance tooling | 4.0 | Full comparison |
| Globant | Firms wanting subscription-priced AI capacity. | Subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour | 4.0 | Full comparison |
| N-iX | Larger programmes needing an Eastern European team. | Large Central and Eastern European engineering bench with data-platform experience | 4.0 | Full comparison |
| ScienceSoft | Healthcare and finance firms wanting one IT vendor. | Long-established generalist covering both the surrounding software and the AI feature | 4.0 | Full comparison |
| Itransition | Cost-sensitive buyers wanting a large generalist. | Low published rates combined with a large engineering pool | 3.9 | Full comparison |
| Miquido | Product teams adding AI to customer-facing apps. | Product design and mobile engineering applied to AI features in apps | 3.9 | Full comparison |
| Markovate | Startups wanting a quick generative AI build. | Generative AI app builds for startups with a fast proof-of-concept focus | 3.9 | Full comparison |
| LeewayHertz | Buyers open to a platform-led ZBrain build. | Builds on its own ZBrain low-code platform, now backed by The Hackett Group | 3.8 | Full comparison |
Tensorway FAQ
What is Tensorway?
Alicante-based AI engineering firm that wires models into the CRM, ERP and data systems a company already runs
How much does Tensorway charge?
Pricing at Tensorway: Fixed price for the audit and pilot, then dedicated team or managed service; API run cost estimated during the pilot. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does Tensorway use?
Tensorway works with Salesforce, HubSpot, Microsoft Dynamics 365, SAP, Oracle, NetSuite, Snowflake, Databricks, BigQuery, Zendesk, Slack, Microsoft Teams. Primary industries served include Legal services, Financial services, Healthcare records, Retail & e-commerce, Private equity.
Is Tensorway right for enterprise?
Mid-market firms adding AI to existing CRM and ERP. 50+ team size. Key consideration: No prices are published, so you only see a number after the scoping call.
What are the best Tensorway alternatives?
The best alternatives to Tensorway depend on your use case. Top options are:
- Provectus: pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team
- Slalom: partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack
- Neurons Lab: financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation
Compare Tensorway with other AI Integration companies
Verify all details directly with Tensorway before making a decision.