Autonomous AI That Detects, Decides,
and Acts — Before You Do.
LLM-powered agents that monitor your network, classify threats, process FOI requests, and automate workflows — deployed via API in weeks, not quarters.
Siloed Data. Delayed Signals. Manual Decisions.
Enterprise environments generate more data than teams can process — SIEM alerts, network telemetry, IoT events, FOI requests, and operational logs — all in disconnected systems with no unified signal layer.
Data Cynical integrates across your existing stack via API, normalises event data, and runs LLM-based classification and routing — so decisions happen at machine speed, not human speed.
Three Platforms. One Integrated Data Intelligence Stack.
Each platform ships with REST APIs, pre-built connectors, and LLM inference — no model training required. Live in weeks.
LLM-Powered Threat Detection with Sub-Second Response
Ingests network telemetry, endpoint events, and email headers. Classifies threats using fine-tuned LLMs. Triggers SOAR playbooks automatically — reducing MTTR from hours to seconds without analyst intervention.
Full-Topology Visibility — Including Offline WAN Segments
Edge IoT Gateway deployed on-site. Monitors via SNMP, NMAP, iLO, iDRAC, and Redfish. Maintains full monitoring over local LAN during WAN outage — no data gaps, no alert loss.
Automated FOI Intake, Search, and Response Generation
Connects to SharePoint, iManage, Trim, and TechONE via native connectors. Indexes documents using LLM-based semantic search, generates draft responses, and routes for approval — all within the statutory deadline window.
Custom Agents Built on Your Business Logic & Data.
We architect, train, and deploy custom LLM agents against your data, APIs, and workflows. Each agent is tested on your actual production edge cases before go-live — not on generic benchmarks.
Designed for Integration. Measured by Outcomes.
We define success metrics before we write a line of code — and own the outcome through post-deployment optimisation.
Live in Weeks, Not Quarters
Our median time-to-production is 6 weeks. We integrate via your existing APIs — no infrastructure replacement, no long procurement cycles.
Best Model Per Task — Not One LLM for Everything
We route each task to the highest-performing model — Claude for reasoning, GPT-4 for tool-use, Gemini for multimodal. You own the routing logic and can swap providers at any time.
Your Data Never Leaves Your Control
GDPR and PDPA compliant. Tier IV hosting. Zero customer data used for model training. Full audit log of every agent action, exportable for compliance review.
Outcomes Defined Before We Write Code
We define measurable KPIs — MTTR reduction, cost per request, processing time — before the project starts. Post-deployment reporting benchmarks against those targets every quarter.
Run a Technical Discovery Session
With Our Pre-Sales Team.
Bring your architecture diagram and your current tool stack. We'll map exactly where agents, automation, or real-time monitoring can reduce cost and improve reliability.
enquiries@datacynical.com · 1 Business Day Response · Singapore & Global