SERVICES / HYPERDATA:
Predictive analytics consulting that starts where most AI projects stall: the data. We engineer hyperdata systems — AI-ready pipelines, real-time streams, risk scoring, sentiment at scale — that turn prediction into infrastructure, not slideware.
Capabilities
3 capabilitiesGenerative Engine Optimization (GEO) Services
GEO services for AI search: get cited by ChatGPT, Perplexity and AI Overviews. llms.txt engineering, structured data for retrieval, RAG seeding, answer monitoring.
OSINT Investigations & e-Intelligence
AI-powered OSINT investigations from lawful public sources: corporate intelligence, digital exposure, threat monitoring, due diligence. Legal, documented, fast.
AI Systems & Intelligent Automation
Custom AI development with client-owned models: multi-agent systems, end-to-end workflow automation, human-in-the-loop governance. You keep the IP. Full stop.
What a predictive analytics consultant actually does
Predictive analytics is the practice of using historical and real-time data to estimate the probability of future outcomes — churn, fraud, demand, operational risk. A predictive analytics consultant designs the data pipelines, models, and decision workflows that turn those probabilities into actions a business actually takes. The deliverable is a running system, not a forecast deck.
We build that system on what we call hyperdata: high-frequency, multi-source, machine-readable data engineered for AI consumption. It is our term, not an industry standard, and we define it plainly in What Is Hyperdata. The practice underneath is conventional and hard: data engineering, streaming architecture, model operations.
AI-ready data engineering and real-time pipelines
Most AI pilots fail on data readiness, not model quality. We modernize warehouses into lakehouse architectures, replace overnight batches with streaming pipelines that process events in seconds, and version every dataset so models can be audited and retrained. If your stack needs a schema cleanup and a scheduler rather than a platform rebuild, we say so — and scope two weeks, not six months. Clean data engineering is what makes the custom AI systems we build survive production.
Predictive risk analytics: fraud, churn, exposure
Regulated buyers need risk scoring models their examiners can read. We build fraud detection analytics, churn and default prediction, and exposure scoring with documented features and explainable outputs — thinking traces, not black boxes. Model documentation ships as a first-class deliverable, mapped to the compliance frameworks you already answer to.
Sentiment analysis at scale — custom NLP, not a dashboard subscription
Off-the-shelf social listening tools summarize mentions. We build custom NLP pipelines that classify millions of documents against your taxonomy, in your risk language, on your infrastructure. That signal feeds narrative monitoring and OSINT investigations directly — sentiment as an intelligence input, not a vanity metric.
Executive dashboards and decision intelligence
A dashboard that only reports is a rearview mirror. Decision intelligence pairs each metric with a predicted trajectory and a recommended action: what changed, what happens next, what to do. We build executive KPI dashboards where every number has an owner, a threshold, and a consequence.
Predictive analytics consulting with us starts with a two-week Diagnostic Sprint: we audit your data estate, score AI readiness, and hand you a build plan you can execute with us or without us. Three ways to engage. Full IP transfer. No lock-in.
Frequently asked questions
- What does a predictive analytics consultant do?
- A predictive analytics consultant audits a company's data estate, designs the pipelines and models that estimate future outcomes, and deploys them into production workflows. At Blankpage the role spans data engineering, model development, and decision-intelligence dashboards inside a single fixed scope. The output is a system your team owns and operates, with full IP transfer.
- What is AI-ready data and why does it matter?
- AI-ready data is data that is clean, documented, versioned, and accessible enough for machine learning systems to consume without manual preparation. It matters because most stalled AI pilots trace back to data readiness, not model choice. Fixing the data layer first is usually the highest-leverage AI investment a company can make.
- How much does predictive analytics consulting cost?
- Blankpage prices predictive analytics consulting as fixed scopes, not day rates. A two-week Diagnostic Sprint carries a fixed fee and produces a data-readiness audit plus a build plan; Design & Build engagements run six to twelve weeks against a written scope. No pricing theater — you know the number before work starts.