Trust and social data
The AI measures and ranks. People decide, and platform rules stay in force.
Marketing platforms hold other people's posts, comments and profiles, and sell numbers customers act on. These are the design facts behind every module we build, written so your team can repeat them to customers and to platform reviewers.
The short version
- Sprint work runs on sample campaigns and synthetic comments.
- Audience data is limited to what each platform allows.
- Production data stays in your AWS or Azure accounts.
- Every score links to the comments or records behind it.
- No reply, report or CRM write back goes out without a person.
- Users can flag a wrong result, and each flag is kept for review.
Data and decisions
We build on sample campaigns and synthetic comments, not your customers' audiences.
Sprints run on sample and synthetic data, and the AI Scorecard on your own cases with names and contact details removed.
How data is handled
- Sprint work runs on sample campaigns, synthetic comments and test accounts.
- Each platform's storage rules are part of the scope, such as removing deleted posts.
- Audience data is limited to what each platform allows.
- Production data stays in your AWS or Azure accounts, reached only through access you grant and can revoke.
AI controls in every module
- Every metric is defined with you before code and means the same on every channel.
- Scores link to the comments or records behind them; missing values stay blank.
- No reply, report or CRM write back goes out without a person.
- Users can flag a wrong result, and each flag is kept for review.
- On or off per agency, brand or plan, with API quotas and AI cost tracked for the operator.
Evaluation
Quality, fairness across channels and cost are measured before launch.
Every Sprint ends with evidence, not a demo alone.
What we test
- Scores against people's reading of the same comments, including sarcasm and slang.
- The same comment scored the same way on every channel.
- Another customer's campaign or inbox returned: tested, and held at zero.
- Prompt injection from comments and posts, and cost per customer on two models.
For your reviews
- A security overview and a data-flow sheet for each module.
- Help answering the AI sections of customer security questionnaires.
- A way to switch the feature off per agency or plan.
We work within your social platform API terms, privacy requirements such as CCPA and GDPR, and the FTC rules your customers follow on endorsements. Compliance depends on the complete product, contracts, policies and operating environment; Datics does not present software engineering alone as legal certification.
Regulations
Platform terms and privacy rules, in plain terms
Products built on social data work under each platform's developer terms, privacy laws such as CCPA and GDPR, and, for influencer campaigns, the FTC rules on endorsements. We work within your platform API terms, privacy and FTC requirements, and design modules so people decide what is sent and shared. Compliance depends on your complete product, contracts, policies and operating environment, so we never present software engineering alone as certification.
Where we are
Austin, Texas, with US-hours overlap.
Working with us
- Datics AI is headquartered in Austin, Texas, where our CEO is based. Product Review calls run in US Central time.
- A named lead engineer and US-hours overlap on every engagement.
See it on your own platform.
Bring one product, metric or AI feature. In 30 minutes we tell you which of the three ways to start fits, what it would cost to serve per customer and what the platform APIs will allow.
Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.