Recommendations Engine - Data Machines
FyrSoft LLC · Intelligence & Research
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 6 captures on record
What the publisher says
As described on Microsoft Marketplace.
Challenges the product is addressing
- Providing contextual recommendations to users of technology platforms such eCommerce apps, Content apps, eLearning apps, Social Media apps and any other applications that will benefit for continued user engagement
- Eliminate the overhead of implementing traditional complex Machine Learning based implementations
- Ability to provide Real Time recommendations based on user actions (Ex. Providing recommendations upon login/ When product is viewed/ Performing a Search Action/ During Support Interactions)
- Avoid delayed or irrelevant recommendations by learning from User Activity in as little time as 15 minutes to provide immediate recommendations for active users.
Show the rest of the publisher’s description (17 more lines)
How the challenges are being addressed
- By integrating real-time data ingestion to continuously gather all relevant user activity data
- Automatically building a database consisting of all objects suitable for recommendations
- Multi-channel support – consistent user experience across all audiences/implementations
- Fully secure, physically, and logically isolated, with data encrypted in transit
Product Highlights
- Build your own recommendation engine in minutes
- Recommend products, videos, music, books, job postings, etc. based on user activity
- Multi-Tenant platform that can enable B2B applications to provision automatic recommendations to multiple clients with their own secure Recommendation AI model
- Self learning model to provide Context based recommendations or Action based recommendations
- Real-Time observability and governance to observe recommendations being provided to users in real time or analyse historic data to review past recommendations
- Ability to correlate recommendations with user activity to assess effectiveness of recommendations (Additional Feature)
- Simplified integration with your data and user experiences
- Multi-lingual support
- Self-learning, continually enhanced recommendations
- Fast, operates at scale and in real-time
- Built-in monitoring dashboards and insights
Preview
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Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
2 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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