x88labs is the system enterprises use to reason and act on everything they know. We turn documents, data, relationships, and signals into answers, decisions, and governed agents. Deployed where your data lives.
A composable system for enterprise AI. Start with the use case that pays. Agents run across every module, governed end to end. Add search, graph reasoning, signals, and automation as the value expands.
The enterprise front door. Ask across documents, records, and datasets. Get grounded answers with lineage back to the source.
Where connections matter. Map relationships across people, contracts, transactions, assets, and events. Answer questions flat search cannot.
Turn raw documents, messages, events, and streams into usable business signals. Fraud, sentiment, anomalies, KPIs, classifications, entities, and trends.
Build agents that work on enterprise data, end to end. Use them across the platform or as a standalone agentic layer. Policies, approvals, audit trails, and human review stay built in.
Same platform, different configurations. Each deployment is tuned to the data, signals, risks, and decisions that matter for the customer.
Detect fraud signals across transactions, contracts, and communications. Surface anomalies and compliance issues before they become exposures.
Extract metadata from drawings, asset records, procedures, and tenders. Spot performance patterns and make hard-to-find operational knowledge accessible.
Find inconsistencies in claims evidence, documents, images, and communications. Build a clearer chain of custody with confidence scoring.
Run in the environment the mission requires. Multilingual support, access control, auditability, and deployment flexibility from the start.
Map entity relationships across thousands of documents. Surface clauses, obligations, risk factors, and supporting citations.
Search sensitive records with protection controls. Extract trial signals, adverse events, operational indicators, and document-level evidence.
The same core technology adapts to the problems a sector actually has. We build domain-specific solutions and small language models tuned to your data, your terminology, and your risk. You own the result.
Correlate logs, alerts, threat feeds, and analyst notes into a reasoning layer that surfaces real incidents and explains why. Agents triage, investigate, and escalate with a full evidence trail.
Domain small language models fine-tuned on your vocabulary, with privacy controls and guardrails. Not a wrapper around someone else's API. The model and its outputs belong to you.
Ingestion, search, graph reasoning, signals, and agents are sector-agnostic. We configure them for a domain in weeks, not rebuild from zero. New verticals are a configuration, not a company pivot.
Eight capabilities that determine whether enterprise AI actually works in production.
Keyword, vector, metadata, and structured queries work together instead of competing.
Relationships and lineage become first-class context for answers, workflows, and investigation.
Documents, images, audio, video, records, and streams move through one controlled intake layer.
Search, generate, and analyze across major business languages without making language a separate product.
Sentiment, fraud, anomalies, KPIs, entities, classifications, and trends are ready for dashboards or actions.
Cloud, private cloud, on-prem, air-gapped, hybrid, or OEM. The customer boundary defines the deployment.
Agents work with policy controls, observability, audit trails, approvals, and escalation paths.
Use the model that fits the workload. Keep the retrieval, security, and orchestration layer stable.
We build the working system on real data, prove value, then move toward production with controls, runbooks, and a clear expansion path.
We pick the highest-value use case, define success metrics, and agree on the data and users in scope.
A focused engagement on one corpus or workflow. Fixed scope, practical output, and a production path from day one.
Add GraphRAG, Signals, Studio, or governance capabilities as the business case expands. Same foundation. More leverage.
Move with monitoring, operational runbooks, access controls, test criteria, and team training.
Migrate legacy archives, classify and enrich content, and build the data foundation that makes enterprise AI usable.
Bring one workflow, one data problem, or one use case. We will map it to the right combination of search, GraphRAG, signals, agents, analytics, and modernization.
We respond within one business day.
Working session on the use case. Not a brochure walkthrough.
We can use reference datasets first, then move to a controlled pilot on customer data.
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