Limbik aligns AI with human emotions, values, and context using human validated synthetic personas to measure how messages will truly resonate with real audiences. What It Does Limbik Resonance Agent evaluates content using research backed cognitive dimensions: Resonance: How credible, trustworthy, and authentic content feels to specific audiences Interaction: The likelihood content will drive attention, engagement, and response All insights are generated through human validated synthetic personas, enabling scalable, privacy safe audience testing without relying on personal data. Use Case: Expanding Content Categorization with Cognitive AI A global social media advertising technology company sought to elevate its content categorization capabilities to meet growing advertiser demands for brand safety, contextual relevance, and responsible media placement. The Challenge Traditional brand safety tools failed to capture the nuanced psychological and cultural signals that influence how audiences perceive content. Advertisers needed deeper insight into credibility, engagement potential, and sensitivity, not just keyword-level filters. The Solution By integrating Limbik Resonance Agent, the company enhanced its platform with cognitive AI powered qualifiers that assess: Resonance to ensure ads appear alongside trustworthy content Interaction to optimize for audience engagement and message impact This allowed advertisers and agencies to make smarter, values aligned placement decisions backed by data and not guesswork. Results & Impact More relevant, brand safe ad placements that resonate authentically with target audiences Data driven campaign optimization with reduced reputational risk Stronger support for inclusive, responsible, and conscious focused advertising ecosystems Why Limbik Limbik utilizes human in the loop validation in our model development and evaluation processes. API first, cloud native deployment Privacy safe, no personal data required for standard use cases. Scales across markets, languages, and content types
Highlights
Message & Ad Testing enhanced with insights into human behavior that align our AI with human beliefs and values, to maximize engagement and ROI.
Focus group results in seconds, at a fraction of the focus group cost. Get qualitative and quantitative results with the Limbik Resonance Agent.
60+ country populations supported, with over 6,000 individual segments available, provides users with the ability to understand how broad & granular audiences will resonate with your content.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Usage is limited to 100 forecasts per user. If a user reaches the limit, Upgrade to Growth or wait until next month for the usage to refresh. Can be purchased for upto 50 users per organisation. For more users, please reach out to us.
$30.00
Growth
Usage is limited to 500 forecasts per user. The plan supports up to 50 users per organization, and for additional users, please reach out to us.
You choose between two contract tiers based on how many forecasts each user needs per month. The Basic tier caps usage at 100 forecasts per user. The Growth tier raises that cap to 500 forecasts per user. Both tiers are priced per unit and support up to 50 users per organization. If you need more users, you contact the vendor. When a user hits the limit, you upgrade or wait for the monthly usage to refresh. Pricing scales by the forecast volume your team requires.
Top-of-mind questions for buyers
What counts as one forecast for the purpose of these usage limits?
A forecast is one simulation run against a synthetic audience. You use it to score whether a message, content, or idea will resonate with a modeled audience. Each user gets a monthly forecast allowance under your tier. The count resets at the start of the next month.
What happens when a user reaches the forecast limit before month-end?
That user stops running forecasts until the limit resets next month. To keep working right away, you upgrade from Basic to Growth for the higher per-user cap. The change is manual — you choose to upgrade rather than it happening automatically.
How do the per-user limit and the user count together drive my cost?
Both tiers price per unit and support up to 50 users per organization. Your tier sets each user's monthly forecast cap: 100 under Basic, 500 under Growth. Cost scales with the forecast volume your team needs. For more than 50 users, you contact the vendor.
limbik.com
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Vendor refund policy
Refunds are available within 30 days if you are not satisfied with the Resonance Agent. If the Agent does not consistently demonstrate higher resonance content than the base model (based on scores), we will provide a full refund. Contact support@limbik.com for assistance.
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API-Based Agents and Tools integrate through standard web protocols. Your applications can make API calls to access agent capabilities and receive responses.
Additional details
Usage instructions
MCP
Available Tools
get_populations (alias: populations)
→ Discover available countries, audiences, and segments. Returns display labels and stable segment IDs.
forecast (alias: run_forecast)
→ Score a message's believability and virality for a given country and (optional) audience segments.
get_forecast (alias: retrieve_forecast)
→ Retrieve forecast results by using the forecast_uid returned by forecast when recollecting recently run forecast.
recent_news
→ Return recent news bulletins (with hyperlinks) related to a message or topic.
topic
→ Generate a concise, up-to-date topic summary from a user message considering recent events.
If country is missing or set to "global", the system will randomly choose a country from those available to the user.
If no segment IDs are provided, the forecast will default to the "Entire population".
Use get_populations if:
You need to list audience segments for targeting.
The user explicitly requests audience customization.
Always store the forecast_uid from the forecast call, and use get_forecast to retrieve results later.
Presentation Rules (Critical)
Selective Reporting: The forecast tool ALWAYS returns both Believability (BEL) and Virality (VIR) scores.
If the user asks for Believability/Resonance only, display ONLY the BEL score and its explanation. Ignore VIR unless explicitly asked.
If the user asks for Virality/Spread only, display ONLY the VIR score and its explanation. Ignore BEL unless explicitly asked.
If the user asks for a general forecast/score, display BOTH scores.
Key Notes
Forecasting without audience segments gives a useful baseline score.
Segment IDs are stable across sessions — you should cache them but never display raw IDs to end users.
Do not call get_populations unless necessary — avoid redundant API calls.
Example Workflow
Call forecast:
{"message": "Our climate plan will reduce emissions without raising taxes.", "country": "US"}
Save the returned forecast_uid.
If user wants targeted audiences or suggest improvements, call populations:
{"country": "US"}
Then call forecast based on the country & audience selected:
{"message": "Will this campaign go viral?", "country": "US", "audience": [{"display": "Age - 18", "id": 23}, {"display": "Age - 55+", "id": 15}]}
Suggest trying other audience segments for the same populations.
Support
Vendor support
Limbik provides technical support for configuration & onboarding. Standard support includes a 24 to 48 hour email response time, technical troubleshooting, and guidance on best practices for model alignment. For support, please contact: Email: support@limbik.com Support URL: https://www.limbik.com/support (or preferred public link)
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Human-validated synthetic personas that align, tune, and evaluate your AI models with research-grade accuracy. Limbik provides persona-labeled training examples, fine-tuning services, and resonance evaluations to ensure your models generate outputs trusted by the audiences they serve. Built for Amazon Bedrock, SageMaker, and custom LLM pipelines.
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