Media and source desk
AI research sources, company facts, and interview support
Cognautic provides traceable source notes, normalized AI datasets, methodology context, and implementation commentary for journalists, editors, analysts, producers, researchers, and event organizers. We identify what the evidence supports, what it does not support, and any commercial interest relevant to the topic.
Verified company facts
A short factual profile for research and attribution
These facts match Cognautic’s visible site identity and structured data. Please use the contact route to verify any fact not listed here before publication.
Company
Cognautic
AI automation agency founded in 2026
Location
St. Petersburg, Florida
Tampa Bay in person; U.S. businesses remotely
Work
AI implementation and operations
Phone agents, workflows, integrations, evaluation, governance, and growth systems
Open source collections
Inspect the method and download the normalized records
The original publisher remains the authority for every underlying claim. Cognautic’s compilation adds a consistent record structure, limitations, and correction path. The datasets are available without an email gate under CC BY 4.0.
AI adoption statistics
A normalized comparison of government, enterprise, small-business, and agent-adoption estimates that keeps every population and definition separate.
AI productivity statistics
A source-audited comparison of field experiments, randomized studies, surveys, and model-based estimates without collapsing unlike work into one productivity rate.
AI project failure statistics
A reconciliation of forecasts, abandonment, production, adoption, impact, and root-cause evidence that explains why there is no defensible universal AI-project failure rate.
Browse every dataset and implementation template in the open research library. Review sourcing, AI-assistance, correction, comparison, and disclosure rules in the content standards.
Source topics
Where Cognautic can provide bounded implementation context
Availability and fit are confirmed per request. A response is not legal, medical, accounting, investment, employment, or regulatory advice, and we do not claim a result that the cited evidence cannot support.
AI implementation evidence
Choosing a bounded workflow, establishing a baseline, defining acceptance tests, preserving exceptions, and separating a pilot from a production release.
AI agents in real operations
Tool permissions, retrieval, evaluation, monitoring, human review, incident handling, economics, ownership, and exit planning.
AI statistics and misleading denominators
Why adoption, productivity, failure, abandonment, prototype, production, and enterprise impact figures cannot be combined without their populations and thresholds.
Small-business automation
Where phone, lead-response, service, document, finance, and back-office workflows can support a measurable business job—and where automation should stop.
Request checklist
Include enough context for a useful, attributable response
- Outlet, program, publication, or event name
- Topic and the exact question or claim being checked
- Deadline, time zone, and preferred response format
- Whether the response will be quoted, paraphrased, recorded, or published in full
- Any embargo, exclusivity, conflict, disclosure, or source-verification requirements
Cognautic will identify the responding person and relevant role before an attributable quote is supplied. We do not fabricate credentials, anonymous consensus, customer proof, or unpublished measurements to fit a deadline.
Media inquiry
Send the question, deadline, and attribution requirements
The monitored contact workflow labels media requests separately from sales and support. If Cognautic is not the right source, we will not force a promotional answer into the story.