Top AI Consulting Companies

Tensorway vs SoftKraft: full comparison for 2026

Quick verdict

Tensorway (4.8/5) edges ahead of SoftKraft (3.9/5) overall. Tensorway is the better choice for buyers wanting consulting and build from the same accountable team. SoftKraft is the stronger option for startups on tight budgets needing AI strategy advice. The right choice depends on your project size, budget, and required tech stack.

Tensorway vs SoftKraft: head-to-head summary

Criterion Tensorway SoftKraft
Founded 2019 2015
HQ Alicante, Spain Bielsko-Biala, Poland
Team size 20-50 11-50
Rating 4.8 / 5 3.9 / 5
Primary differentiator Documented 11-step consulting methodology, from data profiling through model validation Small dedicated team priced for startup budgets, not enterprise rates
Pricing model Fixed-scope project, dedicated team, or paid discovery phase Fixed project or dedicated team
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, PyTorch, TensorFlow Python, PostgreSQL, Apache Airflow
Industries served Legal, Private equity & finance, E-learning, Sports & media Fintech, SaaS, Healthtech

Tensorway vs SoftKraft: overview

Tensorway

Tensorway is the applied-AI unit of a longer-running Alicante, Spain software house with roughly 25 years of prior delivery history, set up in 2019 as a standalone team of 20-50 deep learning architects, MLOps engineers, ML engineers, and QAs. Its consulting practice follows a documented 11-step process, from challenge understanding and data profiling through feasibility study and model validation, and it explicitly separates strategy work from build work while keeping both under the same team. Strategy engagements typically take 3-6 weeks depending on data volume and business complexity, and the firm states its goal is identifying AI use cases with real return rather than ones that just sound impressive.

SoftKraft

SoftKraft was founded in 2015 by CEO Marek Petrykowski and CTO Blazej Kosmowski, running a lean 11-50 person team from Bielsko-Biala, Poland. Around 70% of its clients are North American despite the delivery team sitting in Poland. The firm's positioning centers on data-driven software, AI consulting, and data engineering built specifically for startups and small-to-mid-sized companies, not enterprise accounts.

Services and capabilities: Tensorway vs SoftKraft

Capability Tensorway SoftKraft
AI strategy consulting
Generative AI
Machine learning
Data engineering
MLOps
Fixed-price projects
Dedicated team model

Tech stack comparison: Tensorway vs SoftKraft

Framework / platform Tensorway SoftKraft
Python
AWS
Azure N/A N/A
Google Cloud N/A
Kubernetes N/A
LangChain N/A
PyTorch N/A

Pricing comparison: Tensorway vs SoftKraft

Criterion Tensorway SoftKraft
Minimum engagement Not disclosed Not disclosed
Engagement models Fixed project, Dedicated team, Discovery phase Fixed project, Dedicated team
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Tensorway vs SoftKraft

Dimension Tensorway SoftKraft
Best company size Startup to mid-market Startup to mid-market
Best industries Legal, Private equity & finance, E-learning Fintech, SaaS, Healthtech
Best use cases Needing a readiness assessment that leads directly into implementation with the same team., Auditing an existing AI system that isn't delivering expected results. Getting an AI strategy assessment for a pre-seed or seed-stage startup., Getting AI consulting and data engineering handled by one small, accountable team.
Typical project type Fixed project Fixed project

Tensorway vs SoftKraft: pros and cons

Tensorway
+ Strategy and implementation come from the same team, avoiding the handoff gap between a consulting firm and a separate build vendor.
+ Documented 11-step methodology gives clients a concrete process to evaluate, not a vague framework.
+ Certified against GDPR, HIPAA, ISO 9001, and ISO 27001 as standard.
+ Draws on its parent company's 25 years of delivery infrastructure without diluting AI focus.
+ Named clients recognized by Clutch, PMI, Fortune, and Manifest, per company website.
- A 20-50 person team caps how many large strategy engagements can run in parallel
- No fixed pricing published, so budgeting requires a direct conversation before scoping
SoftKraft
+ Smaller team size keeps overhead, and likely cost, below mid-size and enterprise consultancies.
+ 70% North American client base shows the team has adapted to US buyer expectations from Poland.
+ Founder-led leadership stays close to delivery rather than purely sales.
+ Startup and SME focus means scope and pricing fit smaller budgets from the outset.
- Team of 11-50 limits capacity to a handful of concurrent projects
- Less public case-study history than firms with a decade-plus track record

Who should choose Tensorway?

A typical fit: needing a readiness assessment that leads directly into implementation with the same team.

Documented 11-step consulting methodology, from data profiling through model validation. Minimum engagement is not publicly disclosed. Works best with clients in Legal, Private equity & finance, E-learning, Sports & media.

Who should choose SoftKraft?

A typical fit: getting an AI strategy assessment for a pre-seed or seed-stage startup.

Small dedicated team priced for startup budgets, not enterprise rates. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, SaaS, Healthtech.

Decision matrix: Tensorway vs SoftKraft

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Tensorway
You need a large dedicated team for an ongoing programme Tensorway
Your budget is at the lower end Compare: Tensorway (Not disclosed) vs SoftKraft (Not disclosed)
You need specialist depth in a specific vertical Tensorway
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build Tensorway

Use case fit: Tensorway vs SoftKraft

Use case Tensorway fit SoftKraft fit Winner
Needing a readiness assessment that leads directly into implementation with the same team. Strong Limited Tensorway
Auditing an existing AI system that isn't delivering expected results. Strong Limited Tensorway
Getting an AI strategy assessment for a pre-seed or seed-stage startup. Limited Strong SoftKraft
Getting AI consulting and data engineering handled by one small, accountable team. Limited Strong SoftKraft
Fixed-price project Limited Limited Both equally
Dedicated team model Limited Limited Both equally

Verdict: Tensorway vs SoftKraft

Tensorway (4.8/5) is the stronger overall choice for most AI Consulting projects. Documented 11-step consulting methodology, from data profiling through model validation.

SoftKraft (3.9/5) is worth a look if you need getting AI consulting and data engineering handled by one small, accountable team. If your situation matches that, SoftKraft is a competitive option.

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Tensorway vs SoftKraft FAQ

Is Tensorway better than SoftKraft?

Tensorway (4.8/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: strategy and implementation come from the same team, avoiding the handoff gap between a consulting firm and a separate build vendor. SoftKraft's strongest advantage: smaller team size keeps overhead, and likely cost, below mid-size and enterprise consultancies.

How do Tensorway and SoftKraft differ in pricing?

Tensorway uses fixed-scope project, dedicated team, or paid discovery phase pricing. SoftKraft uses fixed project or dedicated team pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Tensorway or SoftKraft?

Tensorway is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.

What are the main differences between Tensorway and SoftKraft?

Tensorway's primary differentiator is: documented 11-step consulting methodology, from data profiling through model validation. SoftKraft's primary differentiator is: small dedicated team priced for startup budgets, not enterprise rates. They also differ in team size (20-50 vs 11-50), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Legal, Private equity & finance vs Fintech, SaaS).

Verify all details directly with each company before making a decision.