Tensorway
Editor's pick #1Takes stalled AI pilots into production behind a model gateway, regression tests, and a canary rollout
What is Tensorway?
Tensorway, founded in 2019 and based in Alicante, Spain, is an AI engineering firm of more than 50 people whose practice has roots in over two decades of running production systems for clients. Its production work starts with a gateway in front of the models. That gateway logs every request, enforces rate limits, tracks cost per feature, sends routine traffic to cheaper models, and fails over to a backup model during a provider outage. Prompt and model changes are regression-tested before release. New versions then go out through a canary rollout with fallbacks, so a bad change reaches only a small share of users. For a US trading platform with more than 100,000 investors, it reports market-data processing 40% faster and institutional operating costs 35% lower after an agentic AI build (per company website; independently unverifiable). It publishes no rates.
Tensorway works primarily with clients in Financial services, Fintech & trading, Legal, Healthcare, Retail & e-commerce, Private equity sectors. Its primary differentiator is: Model gateway with routing, provider fallback, and regression tests, released through a canary rollout.
Tensorway tech stack and services
| Service area |
|---|
| LLM Gateway & Cost Control |
| Evaluation & Regression Testing |
| Canary / Staged Rollout |
| Monitoring & Drift Detection |
| Pilot to Production |
| Managed Run After Launch |
| CRM / ERP Integration |
Tensorway pricing
Short answer: Tensorway prices its work as follows: fixed price for the audit and pilot; dedicated team or managed service after that, with API run cost worked out during the pilot. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed-scope pilot | Fixed price; quoted per project | Testing one workflow on real data |
| Dedicated team | Monthly team rate; not public | Continuing the build after a pilot |
| Managed services | Monthly fee; not public | Running and monitoring live systems |
Tensorway pros and cons
| Advantages | Things to consider |
|---|---|
| +Swapping one model for another doesn't mean rewriting the application, because every call goes through its gateway | -A team of 50+ can't offer the round-the-clock global coverage of the large integrators |
| +Prompt and model changes are tested against benchmarks before release, which catches quality drops early | -No public price list, so budgets are only known after the audit |
| +Canary rollouts with fallbacks limit how many users see a bad change | -No certifications or named cloud-partner tier appear on its pages |
| +Cost per feature is tracked from day one, and routine requests go to cheaper models | |
| +Watches hallucinations, drift, latency, and API spend after launch, with an optional managed service |
Tensorway vs alternatives
How Tensorway compares to the other top AI Implementation providers.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Provectus | AWS shops taking GenAI pilots to production. | AWS Premier Tier MLOps and generative AI engineering on Bedrock and SageMaker | 4.6 | Full comparison |
| Grid Dynamics | Enterprises moving several AI pilots to production. | Forward-deployed engineers working from ready-made GAIN platforms for agentic and retail AI | 4.5 | Full comparison |
| deepsense.ai | Teams that need measured accuracy before launch. | Evaluation-first engineering that proves accuracy on your data before release | 4.5 | Full comparison |
| Neurons Lab | Banks and insurers shipping AI on AWS. | Financial-services AI built inside existing compliance controls on AWS | 4.4 | Full comparison |
| Datatonic | Google Cloud users needing MLOps and managed run. | Vertex AI MLOps with a managed service to run models after launch | 4.4 | Full comparison |
| Quantiphi | Large document and contact-center AI programs. | Large Google Cloud and AWS engineering bench for document and speech AI in production | 4.3 | Full comparison |
| ML6 | European firms needing EU-compliant production AI. | European AI engineering with EU AI Act and GDPR requirements built into delivery | 4.3 | Full comparison |
| Thoughtworks | Engineering orgs wanting disciplined AI delivery. | Continuous delivery practice applied to models and prompts, with tool views published in its Technology Radar | 4.3 | Full comparison |
| N-iX | Mid-size and large firms wanting nearshore MLOps. | Dedicated MLOps practice backed by a large nearshore engineering bench | 4.2 | Full comparison |
| DS Stream | Teams wanting packaged LLMOps at nearshore rates. | Packaged LLMOps setup with evaluation, prompt versioning, guardrails, and model routing | 4.2 | Full comparison |
| Addepto | Mid-size firms wanting tested LLM apps cheaply. | Open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point | 4.2 | Full comparison |
| RTS Labs | US mid-market firms on a small budget. | The lowest entry point on this page, with a committed ship date for production code | 4.1 | Full comparison |
| EPAM Systems | Enterprises adding AI across many products. | Engineering capacity to put AI into dozens of products under one program | 4.1 | Full comparison |
| Accenture | Multinationals rolling AI out across many countries. | Staffing and compliance depth to run production AI in many countries at once | 4.1 | Full comparison |
| Winder.ai | Teams needing senior MLOps advice and review. | Senior MLOps expertise from a recognized author, at boutique scale | 4.0 | Full comparison |
| NineTwoThree AI Studio | Funded companies launching an AI product. | Product design and engineering together for customer-facing AI launches | 4.0 | Full comparison |
| Globant | US firms wanting nearshore AI engineering. | Nearshore Latin American engineering teams in US time zones | 4.0 | Full comparison |
| SoftServe | Existing clients extending engineering into AI. | Google Cloud Premier engineering firm with an MLOps and generative AI practice | 4.0 | Full comparison |
| Capgemini | European multinationals pairing AI with outsourcing. | Production AI bundled with outsourced business operations after the WNS deal | 3.9 | Full comparison |
| InData Labs | Mid-size firms with one focused AI project. | Discovery, proof of concept, and production build from a small data science team | 3.9 | Full comparison |
| Instinctools | Palantir users building agentic workflows. | Palantir Foundry and AIP implementation alongside custom software engineering | 3.9 | Full comparison |
| Netguru | Product teams adding AI features to apps. | AI features shipped as part of web and mobile product work | 3.9 | Full comparison |
| STX Next | Python teams needing extra AI engineers. | Python engineering depth for AI that lives inside your codebase | 3.9 | Full comparison |
| 10Clouds | Smaller banks and lenders adding AI. | A dedicated financial-institutions AI unit with its own AIConsole platform | 3.8 | Full comparison |
| LeewayHertz | Buyers wanting a platform-based AI build. | Builds on its own ZBrain platform, now backed by The Hackett Group | 3.7 | Full comparison |
Tensorway FAQ
What is Tensorway?
Takes stalled AI pilots into production behind a model gateway, regression tests, and a canary rollout
How much does Tensorway charge?
Pricing model: fixed price for the audit and pilot; dedicated team or managed service after that, with API run cost worked out 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 AWS, Azure, Google Cloud, Salesforce, SAP, Snowflake, Databricks, Zendesk. Primary industries served include Financial services, Fintech & trading, Legal, Healthcare, Retail & e-commerce, Private equity.
Is Tensorway right for enterprise?
Best for: teams whose AI pilot works but can't ship. Team size: 50+. Key consideration: A team of 50+ can't offer the round-the-clock global coverage of the large integrators.
What are the best Tensorway alternatives?
The best alternatives to Tensorway depend on your use case. Top options are:
- Provectus: AWS Premier Tier MLOps and generative AI engineering on Bedrock and SageMaker
- Grid Dynamics: forward-deployed engineers working from ready-made GAIN platforms for agentic and retail AI
- deepsense.ai: evaluation-first engineering that proves accuracy on your data before release
Compare Tensorway with other AI Implementation providers
Verify all details directly with Tensorway before making a decision.