LLMs and agents that survive audit
RAG grounded in your data. Evaluations that catch regressions. Guardrails that hold.
What we do here.
AI in production is 20% model and 80% engineering. We build LLM and agent systems that survive compliance review, feature drift, and the honest question 'how do you know this is working?' Everything ships with evaluations, guardrails, and an audit trail from day one.
Every capability that ships behind a senior owner.
Generative AI Solutions
We build production GenAI features on top of Claude GPT-4 and open-weight models. Text image and code generation wired into your product with proper eval loops and cost controls.
AI Agents & Workflow Automation
Multi-step agents that call tools hit your APIs and finish real work. Built with LangGraph or Anthropic's agent SDK with human-in-the-loop checkpoints where the blast radius is real.
LLM Integration
We wire LLMs into existing apps behind a stable API. Provider routing across Anthropic OpenAI Bedrock and self-hosted models so you can swap without rewriting callers.
AI Chatbots & Virtual Assistants
Support and internal-ops bots grounded in your docs and ticket history. Deployed to web Slack Teams or WhatsApp with escalation to a human when confidence drops.
Retrieval-Augmented Generation (RAG)
RAG pipelines over your PDFs wikis and databases. Chunking hybrid search and reranking tuned on your actual queries not a demo dataset.
MLOps
The plumbing that keeps models alive in production. Training pipelines model registries feature stores and monitoring for drift and quality regressions on real traffic.
Intelligent Automation
Replacing rules-based RPA and manual ops work with LLM-driven document parsing classification and routing. We measure the human hours actually saved not the demos.
AI-Powered Business Applications
Full applications where AI is the core feature not a sidebar. Copilots for sales ops finance and legal built on your data with role-based access and audit trails.
A four-step delivery method.
Ground
Start with the data. RAG grounded in your systems of record not a public model guessing.
Evaluate
Regression tests drift monitors and business-metric alerts. If the model regresses we know before your users do.
Guardrail
Human-in-the-loop where it matters. Structured outputs content filters and refusal semantics that hold.
Ship
Self-hosted or hosted whichever fits the compliance envelope. Audit trail on every inference.
What clients measure.
- Documented eval suite run on every deploy
- Feature drift detected in minutes not weeks
- Compliance-safe: HIPAA SOC 2 or bank audit ready
- Model iteration cycle measured in days not sprints
- Real business metrics moved not just model accuracy
The tools we reach for first.
Compose several into a program.
Digital Transformation
Modernizing what runs the business without freezing what pays the bills.
Cloud & DevOps
Infra you can reason about at 3am priced against what you actually use.
Data Engineering & Analytics
Pipelines that do not require a rescue rota. Dashboards leaders actually open.
Let's talk
Book your free consultation with an AUERON engineer
One senior engineer will respond within one business day.
Prefer email? hello@aueron.in