Question 1

We don't use Social Media. Is Sentient still useful?

Accepted Answer

Absolutely. Think of Social Media as our testing lab - it's where we perfected our ability to map complex human patterns at massive scale. But the engine doesn't need you to have a social media presence. It needs data. If you have internal data, you have a goldmine we can optimize. We translate worldwide ontology into your private infrastructure.

Question 2

We already have an Analytics Team. Why Sentient?

Accepted Answer

Analytics shows you what happened. Sentient decides what you should do. We don't replace your analysts - we give them tools that automate routine decisions so your team can focus on strategy.

Question 3

What about data security?

Accepted Answer

Through our Cloud Native architecture with Private Cloud Option and full independence from major Hyperscalers, we offer a security standard that prioritizes your data sovereignty. No data flows to third parties.

Question 4

How does Sentient integrate with our existing systems?

Accepted Answer

No rip-and-replace. Sentient docks onto your existing stack via standard APIs, SQL, Kafka, or S3. It functions as an intelligent layer above your BI, CRM, and ERP - or runs standalone if all you need is Social Intelligence context for your business questions.

Question 5

How is this different from a CDP?

Accepted Answer

A CDP unifies your data. Sentient activates it. A CDP tells you who your customers are. Sentient tells you what to do about them - in real time, autonomously. They're complementary, not competing.

Question 6

What industries does Sentient OS serve?

Accepted Answer

Sentient OS is industry-agnostic but has been validated in Social Commerce - arguably the most volatile, fast-paced environment in existence. It's built for retail, FMCG, media, entertainment, and any industry that generates behavioral data.

Question 7

Can we deploy on our own infrastructure?

Accepted Answer

Yes. Sentient is Cloud Native with a full Private Cloud option. You're not bound to public infrastructures if your security policies require otherwise.

Question 8

How does enterprise deployment work?

Accepted Answer

Sentient OS supports public cloud, private cloud, and hybrid. Enterprise deployments typically start with a pilot on a defined use case (e.g. price intelligence or next-best-action), then expand. We provide architecture guidance, integration playbooks, and optional managed services. Data stays in your environment; we never host your decision-critical data.

Question 9

What is the pricing model?

Accepted Answer

Pricing is based on deployment scope, data volume, and the Command Center modules you use. We offer subscription and usage-based components. Contact us for a tailored proposal - we align pricing to value (e.g. decision volume, ROI levers) rather than raw event counts alone.

Question 10

What data do we need to run Sentient OS?

Accepted Answer

Sentient OS needs behavioral and contextual signals: events, interactions, and (where available) language. The exact schema depends on your use case. We can ingest from existing data warehouses, streams (Kafka), object stores (S3), or APIs. No fixed minimum - we work with what you have and help you prioritize which data to activate first.

Question 11

What is a typical implementation timeline?

Accepted Answer

A focused pilot (e.g. one Command Center module, one data source) can be live in weeks. Full production deployment across multiple use cases typically runs 2-4 months, depending on data readiness, integration complexity, and guardrail design. We work in phases: ingest and model first, then decide and execute with clear success criteria.

Question 12

How large does our team need to be to run Sentient?

Accepted Answer

You don't need a large dedicated team. Typical setups involve your existing data/analytics or engineering lead plus Sentient OS support. We design for operational clarity: configuration, guardrails, and monitoring are built to be manageable. Many customers start with one internal owner and scale as they add use cases.

Question 13

How do we measure ROI from Sentient OS?

Accepted Answer

ROI depends on your use case. For price intelligence: margin and conversion lift. For allocation and next-best-action: yield and engagement. For fraud: loss reduction and false-positive rates. We define success metrics up front and tie Command Center outputs to your existing KPIs. We can also support before/after or A/B-style measurement where appropriate.

Question 14

What is 'dark data' and why does Sentient care?

Accepted Answer

Dark data is the portion of your data that is collected and stored but never used for decisions - often 60-90% of enterprise data. Sentient OS is built to activate it: the 5-Layer Architecture ingests raw or semi-structured streams, normalizes them, and runs belief modeling and vector computation so previously unused signals feed the decision layer. Dark data becomes input, not landfill.

Question 15

What are vector spaces, in plain terms?

Accepted Answer

Think of a vector space as a coordinate system for behavior and belief. Each person, product, or moment is a point in that space. 'Closeness' is computable: similar points behave similarly. Sentient OS uses this to match the right action to the right entity in real time - without relying on demographic buckets or gut feeling. It's mathematics, not guesswork.

Question 16

How is Sentient OS different from generic AI/ML tools?

Accepted Answer

Generic AI/ML tools are building blocks: models, pipelines, notebooks. Sentient OS is a decision layer: it includes causal analysis, behavioral archetypes, vector spaces, and Command Center modules that execute. We don't sell you a model and wish you luck - we deliver Sensor, Translator, Logic Engine, DNA, and Pattern Recognition as an integrated stack, with guardrails and sovereignty built in.

Question 17

Is Sentient OS GDPR compliant?

Accepted Answer

Yes. We are designed for data sovereignty: your data stays in your environment, and we do not use it for training third-party models. You control retention, purpose limitation, and access. Our architecture supports data minimization and can integrate with your consent and legal bases. We provide documentation and practices to support GDPR (and similar) compliance; specific compliance remains your responsibility with your legal team.

Question 18

What does the Command Center show?

Accepted Answer

The Command Center is the interface where the 5-Layer Architecture becomes actionable. It presents intelligence across tabs: Overview with score circles (content alignment, language, price, seasonal, brand), Social Profile with reliability and authenticity scoring, Audience with demographic mapping and content alignment, Timing & Brand with seasonal analysis and posting heatmaps, and Financials with conversion modeling and revenue projections. All 8 Intelligence Modules - Performance Forecasting, Conversion Modeling, Integrity Layer, Psychographic Layer, Market Fit, Temporal Resonance, Strategic Guidance, and Enterprise Integration - surface in one transparent surface. Additional modules in development: Predictions, Anomalies, Clusters, Causality.

Question 19

What is LikeTik and how does it relate to Sentient OS?

Accepted Answer

LikeTik is a standalone Axinity product built on a fraction of the Sentient OS stack - purpose-built for Social Commerce intelligence. It is the experience layer where campaign managers and C-Suite interact with deterministic intelligence. LikeTik has processed over 1.2 million real articles with real creators, real products, and real transactions. Every interaction sharpens the model and feeds signals back into the Sentient stack. It is powered by Nami, the orchestration layer, and surfaces selected Command Center modules in a production environment.

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