WE BUILD RELIABLE AI SYSTEMS
FOR REAL BUSINESS
WORKFLOWS.
We transform stochastic LLM outputs into hardened operational systems that perform consistently in production.
Operational Clarity
The Friction (Cost)
- ✕ Manual data checking across dashboards leading to high labor overhead.
- ✕ Documentation search silos causing delays in decision making.
- ✕ Inconsistent LLM answers creating operational risk and liability.
The Engineering
- → Retrieval pipelines (RAG) with precise source citation.
- → Custom decision automation agents with tool-integration.
- → Monitoring, schema validation, and fallback systems.
The Outcome
- ✓ Reduced operational costs via automated document parsing.
- ✓ Faster internal ops through instant knowledge access.
- ✓ Predictable outputs verified against business logic.
Technical Workflow
A realistic look at our production retrieval and validation stacks.
Internal Operations Knowledge Agent
Context: A logistics framework prototype designed to parse 400+ compliance documents manually searched by employees.
The Build: Retrieval + Citation + Fallback validation. If a document cannot be verified with 100% citation grounding, the system triggers a manual human-in-the-loop fallback.
Engineering Stack
Inference
Data
Orchestration
Safety
Engagement Model
System Review
Free initial review of your current data silos and operational bottlenecks.
Pilot Build
A 2–4 week deployment of a prototype system to verify logic and success rate.
Integration
Full production scaling within your VPC and integration into existing tools.
Applied AI Group
Singularity Union is a small engineering team focused exclusively on applied LLM systems. We prioritize verifiable system performance over marketing hype.
"We avoid the 'marketing chatbot' trap. We build systems that perform business logic with verifiable precision."
Start Review
Submit your technical friction points for an architecture review. Response time: Within 24 hours.