What We Build

Four Services.
One AI Layer.

Scroll to explore each service.

01Agentic AI Software Engineering
AGENT RUNTIME · LIVE
Invoice Validation Agent
847 tasks today
Active
Customer Support Agent
1,204 queries resolved
Active
Claude · GPT-4 · Gemini active

Stateful LLM agents using LangChain, LlamaIndex, or custom orchestration — integrated with your APIs, event queues, and data stores.

End-to-End Process Agents — invoice validation, ERP writes, approval routing via tool-calling
↓ 40–60% operational cost
RAG Conversation Agents — grounded on CRM and docs, escalates with full context on confidence breach
↓ 70% customer ops cost
Data Agents — query warehouses, LLM-summarise, push to dashboards on schedule or event trigger
Real-time · zero manual work
02E-Commerce Agent Orchestration
E-COMMERCE DASHBOARD
35%
Fewer Stockouts
70%
Faster Support
+15%
Revenue Lift
50%
Faster Fulfilment
Shopify · WooCommerce · Custom APIs

Agent workflows for inventory, pricing, fulfilment, and support — structured tool-calling, not RPA screen scraping.

Inventory & Demand Agents — PO generation, demand forecasting, supplier API writes
↓ 35% stockout reduction
Dynamic Pricing Agents — competitor feeds, margin rules, updates within guardrails
↑ 15% revenue increase
Order Agents — validates payment, routes to optimal node, queries 3PL — zero manual touchpoints
↓ 50% faster processing
03Cloud Infrastructure & MLOps
INFRASTRUCTURE OVERVIEW
Vector Store (Pinecone)<100ms
Event Stream (Kafka)live
Agent Compute (Lambda)$0 idle
Observability (Grafana)1 alert

Cloud infra for LLM agent workloads — vector stores, inference endpoints, event queues, and observability on AWS, Azure, or GCP.

Serverless Compute — Lambda, Cloud Run, Azure Functions. Scales to zero between agent invocations
Zero idle cost
Vector & Streaming Data — Pinecone, pgvector for RAG. Kafka or Kinesis wired to tool-calling layer
Sub-100ms retrieval
Security & Observability — VPC, KMS, IAM, Grafana + OpenTelemetry full stack
GDPR · PDPA · HIPAA
04Workflow Integration & Automation
WORKFLOW AUTOMATION HUB
SF
Salesforce CRMConnected
JR
Jira ITSMConnected
SA
SAP ERPConnected
Agent middleware · 3 workflows running

Agent middleware connecting CRM, ITSM, ERP, and WMS via API — automating repeatable tasks so your team handles exceptions only.

Process Integration — CRM, ITSM, ERP, WMS via tool-calling. Agents execute routines; humans escalate
↓ 40–60% manual overhead
Workflow Automation — event-driven triggers on existing ticketing and approval flows
No rip-and-replace
Compliance Agents — monitor adherence, flag deviations, generate audit trail exports
Full audit trail per run
Core Service · 01

Agentic AI Software Engineering

We build stateful, multi-step LLM agents using LangChain, LlamaIndex, or custom orchestration — integrated with your existing APIs, event queues, and data stores. Claude, GPT-4, or Gemini selected by task type.

End-to-End Process Agents
Stateful agents execute multi-step processes — invoice validation, ERP writes, approval routing — via tool-calling with your internal APIs. No human instruction per step.
↓ 40–60% operational cost
Real-Time Operations Monitoring Agents
Agents subscribe to your event streams (Kafka, SQS, webhooks), classify operational signals, and trigger remediation actions — with configurable escalation thresholds.
↑ 30–50% efficiency improvement
Customer-Facing Conversation Agents
RAG-powered agents grounded on your product docs, CRM, and order data. Handles L1/L2 queries autonomously — escalates to human with full context when confidence threshold is not met.
↓ 70% customer operations cost
Data & Intelligence Agents
Agents query across data warehouses, APIs, and live streams — normalise, summarise using LLM, and push structured output to dashboards, Slack, or email on schedule or event trigger.
Real-time insights · zero manual work
Integrated LLM Runtime
Claude (Anthropic)Long-context · Function calling
GPT-4 / GPT-4 TurboTool-use · JSON mode
Gemini (Google)Vision · Audio · Code
Orchestration LayerCustom Hybrid
Development Process
1
Operations Analysis
Map workflows, identify automation opportunities
2
Agentic Architecture
Design logic, model selection, orchestration
3
Build & Train
Develop agents on your data & business logic
4
Deploy & Optimise
Production rollout with continuous learning

Specialized Service · 02

E-Commerce Automation via Agent Orchestration

Agent workflows integrated with Shopify, WooCommerce, and custom commerce APIs — covering inventory, pricing, fulfilment, and support. Each agent uses structured tool-calling, not RPA screen scraping.

E-Commerce Impact
35%
Reduction in stockouts
70%
Faster support response
15%
Revenue increase
50%
Faster order processing
Platform Integrations
Shopify & WooCommerce
Native agent integration, real-time sync
Amazon & eBay Marketplaces
Multi-channel agent orchestration
Custom ERP & CRM Systems
Bespoke connectors built to spec
Inventory & Supply Chain Agents
Inventory agent subscribes to sales velocity data, runs demand forecasting model, generates POs, and pushes to supplier APIs — no manual reorder trigger required.
Reduce holding costs by 20–30%
Customer Service Agents
RAG agent grounded on product catalogue, order DB, and returns policy. Resolves L1/L2 tickets autonomously. Routes to human agent with full context when confidence is below threshold.
40% cost savings · 24/7 availability
Dynamic Pricing Agents
Pricing agent ingests competitor feeds, inventory levels, and margin rules — runs optimisation model and writes price updates to commerce API within configurable guardrails.
↑ 8–15% revenue increase
Order & Fulfilment Agents
Order agent validates payment, routes to optimal fulfilment node, queries 3PL API for carrier selection, and sends status updates — zero manual touchpoints in the happy path.
50% faster processing · 25% cost reduction

Infrastructure · 03

Agentic Infrastructure & Cloud Computing

Autonomous agents demand infrastructure built specifically for AI workloads — scalable, low-latency, and engineered for continuous 24/7 operation. We design, deploy, and manage it.

Serverless & Auto-Scale Architecture
Lambda, Cloud Run, or Azure Functions — event-triggered compute thacross high-volume workloadss to zero between agent invocations. No always-on LLM servers burning budget.
↓ 40–60% infrastructure cost
Containerised Deployment (Docker & Kubernetes)
EKS, AKS, or GKE with Helm-managed agent deployments. Blue/green rollouts. Autoscaling on token throughput metrics, not just CPU.
Zero-downtime deployments
AI-Optimised Data Infrastructure
Pinecone, Weaviate, or pgvector for RAG. Kafka or Kinesis for event ingestion. Redshift or BigQuery for analytical queries. All wired to agent tool-calling layer.
10–50× faster AI inference
Security, Compliance & Observability
VPC isolation, KMS encryption at rest and in transit, IAM least-privilege, and audit logging. LLM prompt/response logging for compliance review. Grafana + OpenTelemetry observability stack.
GDPR · PDPA · SOC2 ready
Multi-Cloud Support
3
Cloud providers
99.9%
Uptime SLA
24/7
Managed support
50%
Cloud spend saved
Cloud Platforms
Amazon Web Services
Broadest service portfolio & AI tooling
Google Cloud Platform
Superior AI/ML & data analytics
Microsoft Azure
Enterprise & Microsoft ecosystem
Hybrid & Multi-Cloud
Vendor independence & flexibility

Enabling Services · 04

Agentic Operations Enablement

Agents are only as effective as the data they access and the systems they can act on. We build the data foundations, integrations, and analytics that make autonomous operations possible.

How Enablement Fuels Agents
Clean, Unified Data In
Governed data from all sources — agents query a single source of truth
Real-Time Intelligence
Streaming analytics & predictions fuel autonomous decision-making
Agents Act Across Systems
Full system access via APIs — agents take action everywhere
Continuous Improvement
Agents learn from every operation — performance improves autonomously
Compliance Coverage
GDPR · CCPA · PDPA · HIPAA · SOC2 — governance built into every data layer.
Data Collection & Integration
Unify data from APIs, databases, IoT devices, and file systems into a coherent layer agents can query in real-time — eliminating data silos entirely.
Eliminate silos · improve data quality
Data Governance & Compliance
Classification, lineage, access controls, and compliance frameworks — ensuring agents operate on trusted, governed information at all times.
Reduced legal risk · audit-ready
Real-Time Analytics & Decision Support
Streaming analytics, anomaly detection, and predictive models that give agents the intelligence needed for high-quality autonomous decisions — delivered in milliseconds.
Millisecond decision intelligence
System Integration & API Development
Custom connectors, REST/GraphQL APIs, and middleware that give agents the ability to interact with every system in your stack — CRM, ERP, legacy, and cloud-native alike.
All systems connected · no manual transfer
Our Approach

From Operations Analysis to Autonomous Action

Every engagement starts with understanding your operations — not just your technology. We build agents that solve real business problems, not demos that live in slide decks.

1

Operations Analysis

Deep dive into your workflows, decision points, and automation opportunities across every department.

2

Agent Architecture

Design the optimal agent system, LLM selection, orchestration logic, and infrastructure blueprint.

3

Build & Integrate

Develop agents trained on your data and business logic, integrated with your existing systems.

4

Deploy & Validate

Rigorous production testing, staged rollout, and performance validation with full monitoring.

5

Optimise & Scale

Continuous monitoring, agent improvement from operational feedback, and expansion to new areas.

Why Data Cynical

Agentic-First. Operations-Obsessed.

We don't retrofit AI into old processes. We redesign operations around autonomous agents — built for the way your business actually runs.

Agentic-First Architecture

Operations designed around autonomous agents from day one — not AI bolted onto existing systems as an afterthought.

Multi-LLM Expertise

We select the right model for each agent — Claude for reasoning, GPT for breadth, Gemini for multimodal. No vendor lock-in, ever.

Operations-Deep Expertise

We understand how businesses run — workflows, edge cases, and human decisions — and build agents that handle all of it reliably.

Measurable ROI

Every engagement is tied to real metrics: cost reduction, efficiency gain, revenue impact. We track outcomes, not just outputs.

Security & Compliance First

GDPR, PDPA, HIPAA, and SOC2 compliance built into every layer from the start — not added as an afterthought.

End-to-End Ownership

From strategy through build, infrastructure, and continuous optimisation — we own the outcome, not just the delivery.

Start With a Technical Architecture Review.

Bring your current stack and a specific process pain point. We'll diagram an agent architecture, estimate integration effort, and identify the fastest path to a working proof of concept.

enquiries@datacynical.com · 1 Business Day Response · Singapore & Global