Dataspore is the zero-friction semantic data layer that unifies customer identities, billing pipelines, and operational logs within your secure boundary. Process logs programmatically without sending raw data to third-party AI models—eliminating data leakage, model hallucinations, and token overhead.
The bottleneck isn't the AI models themselves; it's the data infrastructure gaps.
Forcing an AI agent to query fragmented SaaS logs results in logic failures, massive "trust gaps" (only 6% of organizations trust agents fully), and astronomical API bills as raw JSON structures overwhelm prompt context windows.
Achieved via lightweight, pre-computed machine-readable data contracts.
Strict verification routing ensures absolute security boundaries.
Stalled due to database access complexity and unstructured outputs.
Raw SaaS logs & PII stay completely inside your secure boundary—never fed to third-party LLMs.
A high-performance, robust backend engine designed to ingest raw, unstructured data and serve it seamlessly to humans and systems alike.
Zero-lag, multi-tenant ingestion pipelines capturing raw transaction events and logs directly from Stripe, HubSpot, Google Analytics, Zendesk & more.
Reconciles and standardizes fragmented, cross-platform user identities under an immutable, secure Tenant ID validation workflow.
Powered by a lightning-fast ClickHouse database layer to deliver highly condensed, pre-computed analytical views with sub-second concurrency.
Our Identity Hub programmatically bridges the cross-platform "trust gap." It maps disjointed touchpoints (e.g., aligning a Stripe payment ID directly with a HubSpot Lead contact record) under a unified identifier. Managers drag and drop business logic; Dataspore's automated systems handle the rest.
Feeding heavy, unoptimized payloads to AI agents results in latency bottlenecks and catastrophic API costs. Dataspore's Metric Layer compresses these raw files into super-dense, lightweight, machine-readable contracts, cutting context footprint and operational API bills by up to 94.2%.
Security and compliance teams require bulletproof data tracking. Built on top of isolated, multi-tenant databases, our Event Ledger acts as an immutable historical record. This allows human operators to trace any autonomous calculation, report, or output back to its original source payload, for perfect audibility.
Security and governance teams cannot risk exposing raw application logs or sensitive customer touchpoints to external AI models. Dataspore standardizes and normalizes your data programmatically using deterministic rule pipelines. Your raw logs never cross external network boundaries, ensuring 100% mathematical precision and zero risk of vendor data leakage.
We are validating our alpha architecture with a select group of cloud-first SaaS platforms, agencies, and e-commerce companies. If you run into data integration silos or rising API token overhead, we want to hear from you.
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