SynthDilogQA: Test Data for Agents
Mphasis · Customer Service
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 3 captures on record
What the publisher says
As described on AWS Marketplace.
SynthDilogQA is an advanced generative AI automation pipeline that eliminates the manual bottleneck of conversational AI validation. By converting internal Standard Operating Procedures (SOPs) directly into structured QA test data, it enables engineering teams to rapidly achieve complete test coverage.
The pipeline intelligently analyzes uploaded documents to automatically extract core functionalities, business rules, and procedural dependencies. Using these structured components, SynthDilogQA systematically generates both simple baseline interactions and complex, multi-turn conversational edge cases.
Show the rest of the publisher’s description (1 more line)
To ensure maximum realism, the solution securely connects to your existing databases to enrich conversational scenarios with real customer profile data. This prevents hallucinated personas and ensures virtual assistants are tested against genuinely accurate data constraints. The pipeline delivers a fully hands-off experience, outputting traceable, production-ready QA datasets in CSV and JSONL formats to drastically reduce chatbot evaluation time.
Highlights
Highlighted by the publisher on AWS Marketplace.
SynthDilogQA provides a completely hands-off automation lifecycle. Simply upload a Standard Operating Procedure document, and the pipeline automatically orchestrates the entire test generation process. It systematically breaks down complex playbooks into actionable business logic, entirely eliminating the need for manual QA dataset creation and minimizing the human error traditionally associated with chatbot validation.
The solution intelligently extracts granular functionalities, rules, and variables from internal documents to construct a vast array of test interactions. By automatically generating both simple conversational flows and highly complex, combinatoric edge cases, it guarantees that your virtual assistants are rigorously evaluated against every possible operational scenario outlined in your business guidelines.
Rather than relying on fabricated or hallucinated user personas, SynthDilogQA directly fetches active customer records from your existing relational databases. By enriching the generated dialogs with real-world, schema-aligned data constraints, such as actual account types or eligibility flags, it guarantees that your synthetic QA scenarios perfectly reflect the reality of your live production environments.
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
Plans and pricing as listed
1 listed- Units
Refund terms
As stated by the publisher on AWS Marketplace.
Because SynthDilogQA is billed on a pay-as-you-go, usage-based model per pipeline execution, past usage charges are generally non-refundable. You may unsubscribe at any time to prevent future charges. If you experience critical technical failures with the automated pipeline or suspect a billing error, please contact us within 30 days at https://www2.mphasis.com/AWS-Marketplace-Support-LP.html We review exceptional circumstances on a case-by-case basis.
Sources
Linked repositories
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