Most analytics tools wait to be asked.
You open the dashboard. You build the query. You find the answer. And somewhere in the time between the question forming in your mind and the chart appearing on your screen, the decision that needed to happen today gets pushed to next week.
ABI™ works the other way. It monitors your data continuously, finds what matters, and delivers it to the right person before they think to look. Natural language in, real dashboards out, not chat responses. Proactive insights pushed to each user based on their role. And if you are building a product, you ship the whole thing under your own brand, integrated directly into your app, at a fixed monthly price with no per-user or per-query fees.
That is the core of what Inferdat ABI™ does.
What Inferdat ABI™ is
ABI™ stands for Artificial Business Intelligence. Inferdat ABI™ is a decision intelligence platform that turns natural language into real interactive dashboards and proactive user-specific insights, and lets you deploy it internally for your team or white-label it as your own product for your customers.
This is not a BI tool with a chat interface bolted on. ABI is a full embedded intelligence engine: natural language in, real dashboards out, proactive alerts pushed to each user automatically, running in your AWS account with your data never leaving your environment.
Where traditional BI asks "what does the data show?", ABI asks "given what the data shows, what should happen next, and who needs to know right now?"
Intelligence that finds you
Only 29% of enterprise employees actually use BI tools, according to Gartner. The other 71% are effectively locked out of their own data, not because the data is not there, but because the tools require too much effort to use and too many intermediaries to get answers from.
ABI closes that gap by flipping the model. Instead of waiting for someone to ask the right question, ABI monitors your data continuously and pushes what matters to each person based on their role, goals, and what is actually changing in the business.
Executives and senior operators start their week with the signals that moved, ranked by relevance, with context and recommended next steps already attached. The review, the analysis, and the decision happen in one place.
Operations and functional managers know when a threshold is about to breach before someone files a request. ABI surfaces the signal, explains what is driving it, and connects it to what can be done.
Analysts and data teams stop fielding the same ad-hoc questions repeatedly. According to Kaelio, 50-70% of analyst time currently goes to fielding requests. ABI handles the routine layer, which means analysts spend more time on the complex work that actually requires their judgment.
Business stakeholders across functions (finance, sales, marketing, product, operations) interact with their data directly in plain language and get real dashboards in response, not text summaries, without depending on a technical intermediary.
The brain processes visuals 60,000 times faster than text. ABI delivers the right visual insight to the right person before they think to look for it.
Intelligence that finds your customers
If you build a SaaS product, platform, or data-rich application, your customers are sitting on data they cannot use. Most embedded analytics options give you a chart widget, an iframe, or a redirect to a third-party platform. Your users leave your product to get the answer. Your brand is not on the experience. You have no control over the intelligence layer.
ABI changes that equation entirely.
White-label ABI as your own product. Integrate it directly into your app via API. Your customers type a question in plain language inside the product they already use, and a real interactive dashboard appears. No text response. No redirect. A chart. ABI also monitors their data continuously and pushes proactive alerts to each of your customers based on what is actually happening in their account.
Your brand. Your domain. Your product name. On the Enterprise tier, your customers never know Inferdat exists.
This is not a feature addition. For many product teams, it becomes a revenue line. An AI analytics capability shipped under your own brand that you offer to your customers as part of your core product or as a standalone tier.
80% of B2B buyers now expect AI features in SaaS products by default. 52% of B2B churn is tied to unused features, specifically customers who cannot access or understand data in a platform and eventually leave, according to Gitnux. The embedded analytics market is projected to grow from $69.6 billion in 2024 to $182.7 billion by 2033, per IMARC Group. The buyers are already expecting this. The market is already moving.
What makes ABI™ different
Proactive intelligence, not reactive queries. ABI monitors your data and pushes insights to each user automatically. If nobody asks, nothing gets missed. Every critical change surfaces to the person who needs to act on it, before they think to look.
Real dashboards from natural language. Not a text response. Not a summary. Actual interactive charts and dashboards built from a plain English question, with 60+ chart types and full row-level security enforced per user.
Full white-label. Your brand, your domain, your product. On the Enterprise tier, customers never know Inferdat exists. This is the difference between embedding a widget and owning an intelligence product.
Fixed monthly pricing. Not per user. Not per query. The more your team and your customers use ABI, the better the unit economics get. This is a deliberate choice: usage-based pricing punishes adoption. ABI is designed to be used.
Every answer is auditable. Built for industries where "the AI said so" is not enough. ABI shows its work at every step: data sources identified, SQL generated and validated, row-level security enforced, confidence scored, visualization created. Full audit log on every tier.
Runs in your AWS account. Zero data egress. Your data never leaves your environment. Hard requirement for regulated industries and a growing expectation for enterprise buyers generally.
What this looks like in practice
A head of operations starts their Monday without opening a single dashboard. ABI has already surfaced what moved since last week, ranked by relevance to their role, with context and recommended next steps attached. The review and the decision happen in the same place.
A SaaS product team ships an AI analytics feature under their own brand in hours, not quarters. Their customers ask questions in plain language inside the product they already use, get real charts in response, and receive proactive alerts when something in their data changes. The product team owns the experience. The product team gets the credit.
Both scenarios run in the same platform. Fixed monthly price, regardless of how many people use it.
The business case
40% of enterprise apps will embed AI agents by 2026, an 8x jump from current levels, according to industry research. Organizations that are not building this capability now are building it under time pressure in eighteen months.
For internal teams, the cost of the status quo is measurable: analyst bottlenecks, slow decision cycles, and a 71% BI non-adoption rate that means most of the organization is making decisions without data. For product teams, the cost is competitive: customers expect AI features, churn when they cannot access value from their data, and the embedded analytics market is growing fast enough that this is a category decision, not a feature decision.
ABI™ addresses both sides of that equation in a single platform, at a fixed monthly price, deployed from AWS Marketplace.
Frequently asked questions
What is decision intelligence? Decision intelligence is a category of AI platform that goes beyond surfacing data insights to connecting those insights directly to business action. Where traditional BI reports on what happened, a decision intelligence platform recommends what to do next and enables that action in the same workflow. Inferdat ABI™ is built on this model.
How is ABI different from a BI tool with a chat interface? Most BI tools with chat interfaces return text summaries or code snippets in response to questions. ABI returns real interactive dashboards built from natural language, and also delivers proactive insights automatically to each user without waiting to be asked. The intelligence finds the user; the user does not have to find it.
Can I white-label ABI as my own product? Yes. On the Insights and Enterprise tiers, ABI runs under your brand, your domain, and your product name. Your customers see your analytics platform. Inferdat is completely invisible. Enterprise includes full brand removal and a custom domain.
What does fixed monthly pricing mean? ABI is priced at a flat monthly rate with no per-user fees and no per-query fees. You are not charged based on how many people use it or how many questions they ask. The more usage you drive, the better your unit economics, which is intentional.
Who is ABI designed for? ABI serves two audiences: internal teams (executives, analysts, operators, and functional stakeholders who need faster access to data-driven decisions) and product teams (companies that want to offer AI analytics to their customers under their own brand). Both use cases run on the same platform.
Does ABI require AWS? ABI deploys from AWS Marketplace and runs natively inside your own AWS account. Your data never leaves your environment. It is optimized for AWS Bedrock-based deployments and works within the AWS ecosystem your team already manages.
What are ABI's pricing tiers? ABI is available in three tiers: Build, Insights, and Enterprise. All tiers use fixed monthly pricing with no per-user or per-query fees. AWS infrastructure costs run in your own account on top of the platform fee. Contact Inferdat for current pricing.
Inferdat ABI™ is available in Build, Insights, and Enterprise tiers, deployed from AWS Marketplace. Start a free trial or talk to our team.