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 - CRM, transactions, user behavior - you have a goldmine we can activate.

Question 2

We already have an Analytics Team. Why Sentient?

Accepted Answer

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

Question 3

What about data security?

Accepted Answer

Your data stays in your environment. Through our cloud-native architecture with private cloud option and full independence from major hyperscalers, we prioritize your data sovereignty. No data flows to third parties - ever.

Question 4

How does Sentient integrate with our existing systems?

Accepted Answer

No rip-and-replace. Sentient connects to your existing stack via standard APIs, SQL, Kafka, or S3. It functions as an intelligent layer on top of your BI, CRM, and ERP - or runs standalone. Go live quickly.

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 can be live quickly. Full production deployment across multiple use cases depends 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 modeling 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 it as a smart coordinate system for behavior. Each person, product, or moment is a point. 'Closeness' means compatibility: 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 behavioral analysis, matching intelligence, and Command Center modules that execute. We don't sell you a model and wish you luck - we deliver 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.

Question 18

What does the Command Center show?

Accepted Answer

The Command Center is where the intelligence becomes actionable. It presents insights across tabs: Overview with score circles, Social Profile with reliability scoring, Audience with demographic mapping, Timing & Brand with seasonal analysis, and Financials with conversion modeling and revenue projections. All 8 Intelligence Modules surface in one transparent interface. 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 has processed over 1.2 million real interactions with real creators, real products, and real transactions. Every interaction sharpens the model. It's proof that the technology works in production, not just in theory.

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