We build AI agents that run your operations.
Not chatbots. Not copilots. Autonomous agents that retrieve data, make decisions, call APIs, and execute tasks, inside your actual business systems.
An agent is not a chatbot.
It perceives, reasons, acts, and reports, in a loop, without a human in the middle for every decision.
Perceive
Reads emails, APIs, databases, documents
Reason
LLM decides what action to take
Act
Calls tools: APIs, databases, workflows
Verify
Evals check output before it commits
Report
Logs decision, cost, latency, escalations
MetaSys agents are eval-gated. Every decision is checked against test suites before it executes. No hallucination ships to production.
Production agents, not demos.
Three systems we've shipped and operate.
Freight Dispatch Agent
Manual dispatchers spending 4 hrs/day matching loads to carriers
- →Pulls available loads from load board API
- →Scores 50+ carriers on cost, ETA, and compliance
- →Assigns and confirms dispatch, at $0.018 per decision
310ms
avg decision time
$0.018
cost per dispatch
99.2%
assignment accuracy
US freight operator · Live since Q3 2024
Underwriting Intelligence Agent
Risk analysts reviewing 200+ applications/day manually
- →Retrieves policy docs and applicant data in parallel
- →Scores risk via ML model integration
- →Auto-approves tier-2, escalates tier-1 to human
94.3%
decision accuracy
12×
faster than manual
2
humans-in-loop
UAE insurance platform · Live since Q1 2025
Support Resolution Agent
19,200 support tickets/month, 68% resolvable without humans
- →Classifies and routes tickets automatically
- →Resolves Tier-1 issues via knowledge base + API calls
- →Escalates with full context pre-filled for the agent
68%
auto-resolved
19.2k
hrs saved / mo
4.8★
CSAT maintained
SaaS platform, US · Live since Q2 2024
Every agent we build includes:
Vector memory + retrieval (RAG)
Agent has context about your business
Tool registry
APIs, databases, and services it can call
Eval suite
Test cases run before every production deploy
Human-in-loop escalation
Defined thresholds trigger human review
Observability dashboard
Every decision logged with cost + latency
Feedback loop
Wrong decisions retrain the next version
Guardrails
Hard stops on actions the agent cannot take
Multi-agent orchestration
Agents that spawn and coordinate sub-agents
How we go from problem to production
Discovery & Scoping
2 weeksWe map your current workflow, identify the decision points an agent can own, and define what 'good' looks like in measurable terms.
Architecture & Eval Design
1 weekWe design the agent graph, select tools and retrieval strategy, and write the eval suite before a single line of agent code.
Build, Eval, Iterate
4-6 weeksWe build in sprints with evals running on every commit. No feature ships without passing its test suite.
Launch & Operate
OngoingWe own the agent post-launch: monitoring, retraining, cost optimisation, and incident response included.
Also in the MetaSys stack
Ready to Build Your Intelligent System?
Talk to an AI Architect. Get a scoped proposal within 48 hours. No commitment required.
- Response within 24 hours
- Dedicated AI Architect assigned
- Free architecture consultation
What Happens Next
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