pable.ai builds at the application layer of AI — where reasoning meets execution. Our agents don't just respond to prompts; they plan, invoke tools, act on live data, and adapt based on outcomes. Over 10 agents deployed. Zero overhead to run them.
Purpose-built agents deployed across production environments
0 FTE
Overhead required to run each autonomous agent workflow
Real-Time
Live reasoning, tool execution & system write-back — not batch
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Our Thesis
When electricity became widely available, the companies that rewired how they worked — not just the ones who generated the power — are the ones that defined the next hundred years of industry.
AI is at that same inflection point. The model providers are building essential infrastructure — and they will do well. But the businesses that move fastest to embed AI into how they actually operate are the ones that will pull ahead. Not because they built a model. Because they used one better than everyone else.
pable.ai exists to make that happen — deploying agents at the application layer, inside your workflows, connected to your data, working on your behalf.
Model Providers
OpenAI · Anthropic · Google
Foundational — and table stakes
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pable.ai
Application-layer agents
Built on top, wired into your operations
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The Outcome
Your business moves faster
While others are still evaluating options
Featured Agent Builds — A Selection From Our Portfolio
pable.ai has deployed over 10 production agents across client environments. Below is a curated sample. Each agent operates at the application layer of the AI stack — sitting above the model and orchestration infrastructure to reason, act, and write back to your systems autonomously.
01 / Verify Agent
🔍
Verify Agent
Check → Confirm → Act
Performs real-time cross-checks against external records and internal systems simultaneously. Once confirmed, the agent autonomously triggers the appropriate downstream workflow — eliminating manual lookup, reducing errors, and converting checks into action without human intervention.
Processes complex, multi-variable inputs in real time and returns structured, decision-ready outputs — instantly. Removes the friction from high-touch calculation workflows by applying live data and business logic together, so your team responds faster and with greater confidence.
Live CalculationBusiness LogicStructured OutputInstant Delivery
03 / Inventory Agent
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Inventory Agent
Monitor → Analyse → Advise
Connects directly into your existing operations platform to continuously track stock performance, movement patterns, and carrying costs. Proactively surfaces prioritised recommendations so decision-makers know exactly when to hold, act, or cut — before margin erosion compounds.
An always-on agentic co-pilot that equips your team with real-time context, intelligent next steps, and automated follow-through — keeping revenue opportunities moving without manual overhead.
CRM-NativeRevenue IntelligenceNext Best Action
On RoadmapIn Development
Where We Build — The Agentic Stack
Layer 01
Model Layer
LLMs, reasoning models, embeddings. The intelligence substrate — we work model-agnostic across leading providers.
Layer 02
Orchestration Layer
Memory, tool-routing, multi-agent coordination, feedback loops, and human-in-the-loop checkpoints.
Layer 03 — We Build Here
Application Layer
Purpose-built agents that reason against your data, execute against your systems, and adapt against your outcomes.
"The shift is from models that respond to prompts → agents that drive outcomes. Traditional models are systems of language. Agentic systems are systems of behaviour." — The emerging consensus across AI architecture, 2025–26.
How Each Agent Works
Data In
1st-Party Business DataLive System APIsExternal RecordsERP / CRM
We've shipped over 10 production agents across industries. We scope, architect, and deploy agents built for your data, your systems, and your margins. Every build is proprietary — no off-the-shelf templates, no passive chatbots. Just agents that reason, act, and adapt.