LLM Applications
Internal copilots, workflow tools, domain assistants, and customer-facing AI products.
AI Delivery · Embedded Talent
Eventum means results.
We scope, build, and ship AI systems — with senior technical leadership, hands-on delivery, and the ability to add senior AI talent directly into your team.
For teams that need to ship.
Live project · Series B SaaS
Discovery & scoping
WK 01-02
Discovery & scoping
WK 01-02
Build & Validate
WK 03-06
Deploy & Launch
WK 07-12
Scale & Iterate
Ongoing
Need embedded AI talent? Explore AI Talent
What we build
What we build, in production.
We deliver the applications, retrieval systems, agents, infrastructure, and operational layers that make modern AI work in the real world.
Featured outcomes
Proof of resultsIn 4 months Lower model error Lower training cost
Shipped systems. Measured outcomes.
We help teams get AI into production and improve the systems already there.
0-4
Generative AI product moved from concept to shipped application
50%+
Computer vision model error reduction for production workloads
70%
Training pipeline spend cut via infrastructure + data changes
Official Technology Partners
Start with discovery. End with something real.
001
Discovery
We define the use case, constraints, technical approach, and what success looks like in production.
002
Build
We lead execution across architecture, implementation, integration, and evaluation.
003
Launch
We deploy with monitoring, documentation, and operational readiness in place.
004
Handoff or embedded support
We hand off cleanly — or stay involved when added senior execution is the best path forward.
Who we work best with
For teams that need AI to work in the real world.
For founders, CTOs, and AI leaders who need more than ideas: clear scope, senior execution, and systems that survive real usage.
001
Launching a new AI product
You need senior technical leadership, not just experimentation.
002
Operationalizing internal AI workflows
You need systems that fit how your team actually works.
003
Rescuing a stuck initiative
You already started, but the architecture, infra, or execution path is off.
004
Adding senior capacity fast
You need a specialist who can contribute meaningfully without a long hiring cycle.
Embedded AI talent
Alex M.
Senior LLM Engineer · 11 yrsSpecializes in fine-tuning and self-hosted inference for high-volume products: post-training (LoRA, SFT, DPO), quantization, and serving.
PyTorchvLLMTritonLoRA/DPORay
Results
Fine-tuned an open-weight model to GPT-4-level quality on a support-automation workflow at ~1/8 the inference cost.
Previously Worked at:
Daria K.
MLOps Engineer · 7 yrsBuilt end-to-end ML platforms at two YC-backed companies. Specialized in GPU autoscaling on Kubernetes, model versioning with Dagster/MLflow, and LLM inference cost optimization.
KubernetesDagsterMLflowvLLMGCP
Results
Cut LLM serving costs by 58% via optimized batching and quantization
Previously Worked at:
How Eventum helps
Three ways we help teams ship AI.
Lead the build, rescue stuck work, or add senior AI talent when speed is the bottleneck. Each path is run by people who know what production AI actually requires.
Two ways to work with us
Need AI help that actually ships?
Tell us what you're building, where you're stuck, or what capability you need.