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DLabs.AI

Predictive Analytics · Automation & Workflow · Computer VisionGdansk, PolandFounded 2015

DLabs.AI is based in Gdansk, Poland and works in Demand Forecasting for General Retail, with further work in Computer Vision and MLOps & Infrastructure.

Average rating
4.9
Reviews
10
Profile coverage
100%
Evidence percentile
P90

Profile updated · Request a correction

Company & commercials

Primary category
Predictive Analytics
Team size
10-49 employees
Typical budget
$10K - $50K
Primary industry
Retail, Wholesale & Consumer Goods
Contact provider →Visit website ↗
Overview

What DLabs.AI does best.

About

Predictive Analytics provider for Retail, Wholesale & Consumer Goods

DLabs.AI is a software development and consulting agency that specializes in custom AI solutions, including computer vision and automation, to improve business efficiency. Its own website shows its strongest capability in Demand Forecasting within Predictive Analytics, alongside Predictive Analytics and Sales Forecasting. The industry it describes most is General Retail.

Service model·Service
Primary AI categoryPredictive Analytics
Benchmarked against 1,394 providers in this category.
Primary industryRetail, Wholesale & Consumer Goods
Technology stack

4 platforms & methods

Bars show how many mapped capabilities use each one.

  • Computer Vision1 capability
  • Machine Learning1 capability
  • NLP1 capability
  • PythonProfile only
RankGlobal provider intelligence

Evidence report

How DLabs.AI compares with peers on evidence, reviews and coverage.

Analyst brief · Published
CategoryPredictive Analytics
Compared with1,394 providers
Signals3 signals
Status● Published
Evidence score
100/100
Strong evidence90th percentile of 1,394 peers · peer median 70
Profile coverage100
Taxonomy density100
Review signal100
Peer benchmarkHow the profile comparesPredictive Analytics among 1,394 published providers
Average rating4.90 · median 4.88
Independent reviews10 · median 0
Profile completeness100% · median 70%
Taxonomy breadth48 · median 24
This profile Peer median
Signal radarMulti-dimensional evidence
RatingIndependent reviewsCoverageBreadth
This profile (percentile) Peer median
Industries8 industries
Retail, Wholesale & Consumer Goods23%
Education & Research15%
Financial Services & Insurance15%
Healthcare & Life Sciences15%
Automotive & Mobility8%
Other23%
Share of mapped industries, not share of work or revenue.
Evidence mixMapping grades
94%Direct · 45 mappings
6%Supported · 3 mappings
Grades across 48 mappings. Not a search ranking.
Analyst summary

What the evidence says

DLabs.AI presents as a strong evidence profile for Predictive Analytics. It ranks in the 90th percentile of 1,394 published providers in Predictive Analytics, and 10 reviews back the commercial profile.

Current positioning: P90 evidence quality · P88 industry breadth
Strongest signalsEvidence-backed strength in Predictive Analytics is the profile's clearest signal in the mapped taxonomy.
Best user fitRetail, Wholesale & Consumer Goods buyers evaluating Predictive Analytics at a $10K - $50K engagement size.
Confirm before engagementConfirm current delivery capacity directly — mapped signals reflect profile evidence, not live availability.
How this report is calculated →
Capabilities

AI capabilities.

AI category · 1 / 12

Automation & Workflow

—
DirectSupportedRelatedAdjacentOne of 1,839 providers in this category
Compare Automation & Workflow providers →
Technology used

None of the listed technologies is specific to Automation & Workflow.

Mapping source · https://dlabs.ai/ — “ages, ball-tracking in sport, even Face ID: it’s all computer vision. RPA 2.0 Hand over mundane tasks to a computer, freeing your people to foc”

Featured 12 of 35 capabilities, ranked by mapping grade then confidence.

Industry experience · 8 industries · 13 subindustries

Industries served.

8 Core0 Adjacent · discovery only
  • General RetailDirect · Primary
    95%

    https://dlabs.ai/case-studies/polish-convenience-stores — “--> AI in retail: Demand forecasting & cost optimization - DLabs.AI case study DLabs.A”

  • 95%

    https://dlabs.ai/case-studies/polish-convenience-stores — “Project Demand forecasting and cost optimization for a chain of 8,000 convenience stores Decision making processes for 8,000 shops supported with explainable”

  • 90%

    https://dlabs.ai/solutions — “ted recommendations for the team to act when the time is right. sales E-commerce recommendation engines Get your own custom product recommendation sys”

Client feedback

What clients say.

4.910 independent reviews

Compiled from independent review platforms and client reviews verified by RankGlobal. How we count reviews

Testimonial
We worked with DLabs.AI in 2017 on a tax return app and we're very happy with the results.
MSMaciej SzewczykTaxando GmbHFrom the firm’s website1 / 6
6 reviews · 10 ratings on file

Worked with DLabs.AI? Review them → Every reviewer is verified by RankGlobal.

Methodology

How RankGlobal maps this profile.

RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research — a mapping grade is not a claim of discoverability weight.

  1. T1AuthoritativeTypical evidenceRegulators, registries, certifications, signed client evidence.Scoring useHighest evidentiary weight
  2. T2IndependentTypical evidenceCredible media, industry bodies, partner directories, third-party datasets.Scoring useStrong with attribution and recency
  3. T3Provider-controlledTypical evidenceCompany site, case studies, press releases, structured submissions.Scoring useAccepted as a claim; verification raises weight
  4. T4Discovery-onlyTypical evidenceDirectory listings, aggregations, and early discovery signals.Scoring useUsed for discovery; weighted accordingly in ranking
Direct, Supported, Related and Adjacent appear on mapped cards as classification grades. They do not rank how discoverable a provider should be.RankGlobal trust center →
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Before you reach outKey facts, and three things to confirm once you're in touch.
Primary category
Predictive Analytics
Primary industry
Retail, Wholesale & Consumer Goods
Typical budget
$10K - $50K
Team size
10-49 employees
  1. 1Name the use caseSay which Predictive Analytics problem you are evaluating, so the research team can route your message accurately.
  2. 2Pressure-test the budget bandThe $10K - $50K band on file is a profile-level figure. Ask what a scope like yours actually lands at.
  3. 3Ask for a referenceRequest a client reference in Retail, Wholesale & Consumer Goods — the strongest industry signal on this profile.
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