28Stone
28Stone is based in New York, New York and works in AI Agents for Commercial & Retail Banking, with further work in Automation & Workflow and Recommendation Systems.
- Average rating
- —
- Reviews
- 0
- Profile coverage
- 70%
- Evidence percentile
- P51
Profile updated · Request a correction
Company & commercials
- Primary category
- LLM Agents & RAG
- Team size
- Not disclosed
- Typical budget
- Not disclosed
- Primary industry
- Financial Services & Insurance
What 28Stone does best.
LLM Agents & RAG provider for Financial Services & Insurance
28Stone is a software consulting firm specializing in custom development and technology solutions for financial services. They focus on delivering high-quality trading systems, cloud-native solutions, and digital transformation for buy-side and sell-side financial institutions globally. Its own website shows its strongest capability in AI Agents within LLM Agents & RAG, alongside Multi-Agent Systems and Code Generation Assistants. The industry it describes most is Commercial & Retail Banking.
4 platforms & methods
Bars show how many mapped capabilities use each one.
- AIProfile only
- Microsoft AzureProfile only
- AWSProfile only
- Google CloudProfile only
Evidence report
How 28Stone compares with peers on evidence, reviews and coverage.
What the evidence says
28Stone presents as a moderate evidence profile for LLM Agents & RAG. It ranks in the 51st percentile of 1,860 published providers in LLM Agents & RAG, and no reviews on the profile yet.
Current positioning: P51 evidence quality · P50 industry breadthAI capabilities.
Automation & Workflow
None of the listed technologies is specific to Automation & Workflow.
Mapping source · https://www.28stone.com/ — “ution brings visibility on deal progress, and can be a foundation for workflow automation. Learn more Contact us Find out how our team of experts can help you”
Featured 11 of 11 capabilities, ranked by mapping grade then confidence.
Industries served.
- Commercial & Retail BankingDirect · Primary95%
https://www.28stone.com/ — “, to be met with immediate market acceptance from the platform users: banks, broker-dealers, professional trading firmsю CLIENT PROJECT CLOB & RF”
- 95%
Verified 2026-10-19: Market venues; ETF/index data platform ATLAS for Ultumus (SIX) (https://www.28stone.com)
- FinTech PlatformsDirect95%
https://www.28stone.com/service/software-engineering — “Expert Software Engineering Services for FinTech | 28Stone Expertise News Careers About Us Contact Us Application Deve”
- 90%
https://www.28stone.com/expertise/software-development-for-the-capital-markets — “the last decade. In that time, we’ve delivered electronic trading and lending platforms, voice broker technologies, OMS tech, matching engines, int”
- 80%
https://www.28stone.com/ — “Just-right Software Development for Capital Markets & Financial Services Expertise News Careers About Us Contact Us 28Sto”
- Wealth ManagementDirect80%
https://www.28stone.com/ — “ed behind other areas of fintech innovation. While trading platforms, wealth management solutions, and payment systems have evolved rapidly, the tools that s”
What clients say.
No independent reviews found for 28Stone yet.
Worked with 28Stone? Review them → Every reviewer is verified by RankGlobal.
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.
- T1AuthoritativeTypical evidenceRegulators, registries, certifications, signed client evidence.Scoring useHighest evidentiary weight
- T2IndependentTypical evidenceCredible media, industry bodies, partner directories, third-party datasets.Scoring useStrong with attribution and recency
- T3Provider-controlledTypical evidenceCompany site, case studies, press releases, structured submissions.Scoring useAccepted as a claim; verification raises weight
- T4Discovery-onlyTypical evidenceDirectory listings, aggregations, and early discovery signals.Scoring useUsed for discovery; weighted accordingly in ranking
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- Primary category
- LLM Agents & RAG
- Primary industry
- Financial Services & Insurance
- Typical budget
- Not disclosed
- Team size
- Not disclosed
- 1Name the use caseSay which LLM Agents & RAG problem you are evaluating, so the research team can route your message accurately.
- 2Pressure-test the budget bandNo budget band is on file. Ask what a scope like yours typically lands at.
- 3Ask for a referenceRequest a client reference in Financial Services & Insurance — the strongest industry signal on this profile.
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