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CHI Software

LLM Agents & RAG · AI Ethics & Governance · Automation & WorkflowKharkiv, UkraineFounded 2006

CHI Software is based in Kharkiv, Ukraine and works in Large Language Models for E-commerce & Online Marketplaces, with further work in MLOps & Infrastructure and Conversational AI.

Average rating
5.0
Reviews
33
Profile coverage
100%
Evidence percentile
P92

Profile updated · Request a correction

Company & commercials

Primary category
LLM Agents & RAG
Team size
250-999 employees
Typical budget
$50K - $150K
Primary industry
Retail, Wholesale & Consumer Goods
Contact provider →Visit website ↗
Overview

What CHI Software does best.

About

LLM Agents & RAG provider for Retail, Wholesale & Consumer Goods

CHI Software delivers end‑to‑end AI solutions, from generative AI consulting and custom chatbot development to data engineering, cloud services, and AI‑driven automation for diverse industries worldwide. Its own website shows its strongest capability in Large Language Models within LLM Agents & RAG, alongside Foundation Model Integration and Agent Orchestration. The industry it describes most is E-commerce & Online Marketplaces.

Service model·Service
Primary AI categoryLLM Agents & RAG
Benchmarked against 1,860 providers in this category.
Primary industryRetail, Wholesale & Consumer Goods
Technology stack

5 platforms & methods

Bars show how many mapped capabilities use each one.

  • OpenAI1 capability
  • LLMs1 capability
  • NLP1 capability
  • Computer Vision1 capability
  • MLOps1 capability
RankGlobal provider intelligence

Evidence report

How CHI Software compares with peers on evidence, reviews and coverage.

Analyst brief · Published
CategoryLLM Agents & RAG
Compared with1,860 providers
Signals3 signals
Status● Published
Evidence score
100/100
Strong evidence92nd percentile of 1,860 peers · peer median 70
Profile coverage100
Taxonomy density100
Review signal100
Peer benchmarkHow the profile comparesLLM Agents & RAG among 1,860 published providers
Average rating4.98 · median 4.89
Independent reviews33 · median 0
Profile completeness100% · median 70%
Taxonomy breadth57 · median 20
This profile Peer median
Signal radarMulti-dimensional evidence
RatingIndependent reviewsCoverageBreadth
This profile (percentile) Peer median
Industries8 industries
Healthcare & Life Sciences25%
Professional & Business Services15%
Retail, Wholesale & Consumer Goods15%
Education & Research10%
Financial Services & Insurance10%
Other25%
Share of mapped industries, not share of work or revenue.
Evidence mixMapping grades
91%Direct · 52 mappings
9%Supported · 5 mappings
Grades across 57 mappings. Not a search ranking.
Analyst summary

What the evidence says

CHI Software presents as a strong evidence profile for LLM Agents & RAG. It ranks in the 92nd percentile of 1,860 published providers in LLM Agents & RAG, and 33 reviews back the commercial profile.

Current positioning: P92 evidence quality · P95 industry breadth
Strongest signalsEvidence-backed strength in LLM Agents & RAG is the profile's clearest signal in the mapped taxonomy.
Best user fitRetail, Wholesale & Consumer Goods buyers evaluating LLM Agents & RAG at a $50K - $150K 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

AI Ethics & Governance

—
DirectSupportedRelatedAdjacentOne of 934 providers in this category
Compare AI Ethics & Governance providers →
Technology used

None of the listed technologies is specific to AI Ethics & Governance.

Mapping source · https://chisw.com/agentic-ai-development-services — “er from Day One The best agentic systems are designed with deliberate human-in-the-loop checkpoints — approval gates for high-stakes decisions, escalation pa”

Featured 12 of 37 capabilities, ranked by mapping grade then confidence.

Industry experience · 8 industries · 20 subindustries

Industries served.

8 Core0 Adjacent · discovery only
  • 95%

    https://chisw.com/ — “rs. During this time the CHI team made important contributions to our e-commerce projects and to one of our core proprietary technologies in the area”

  • 90%

    https://chisw.com/ — “s. Gennadiy Vaksman Director, Engineering of TELUS Agriculture & Consumer Goods CHI Software's team has impressed us with their exceptional expertise”

  • 80%

    https://chisw.com/ — “t streamline claims, underwriting, and customer management processes. Retail Enhance retail experiences with data-driven platforms, personalizatio”

Client feedback

What clients say.

5.033 independent reviews

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

Testimonial
Their expertise in AI, cloud technologies, and modern software development made them a reliable partner
YBYevgen Borysenko, CEODigisFrom the firm’s website1 / 8
8 reviews · 33 ratings on file

Worked with CHI Software? 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
LLM Agents & RAG
Primary industry
Retail, Wholesale & Consumer Goods
Typical budget
$50K - $150K
Team size
250-999 employees
  1. 1Name the use caseSay which LLM Agents & RAG problem you are evaluating, so the research team can route your message accurately.
  2. 2Pressure-test the budget bandThe $50K - $150K 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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