Optivus Labs · Research journal

The shape of intelligence
is applied.

Optivus Labs is our applied research arm. We publish, release code, and run production systems. The three inform each other. No ivory tower, no hype merchants. Just the work, documented.

Dot-matrix peak: the shape of a research question
Fig. 01
↳ Dot matrix · summit
Plate I · 2026
✦ 14,692 samples
§ 01 · At a glance

Small lab,
outsized output.

A small team. One engineering bar. A shared commitment to publishing the work we do for clients, with their permission, in our own voice.
Fig. 02
16+
production systems shipped
across client portfolios
Fig. 03
3
products in production
FlowFin · Janus · Veritas
Fig. 04
8
industries served
manufacturing · finance · healthcare +5
§ 02 · Research threads

Four open questions
we keep pulling on.

§ 01
Agentic systems

Autonomous agents that plan, execute, and self-correct across multi-step enterprise workflows. Our work centers on making them auditable.

Multi-agent orchestrationPlan-revise-executeTool learning
§ 02
Knowledge graphs & retrieval

Graph-based memory systems that let LLMs reason over proprietary data with provenance. Underpins every Optivus product shipped to date.

GraphRAGSemantic retrievalProvenance chains
§ 03
Alignment & evals

Methods for measuring and steering model behavior in production. Red-teaming, bias detection, and task-grounded eval harnesses.

Red-teamingTask evalsBias auditing
§ 04
Distributed inference

Serving patterns for agentic systems at scale: edge deployment, model routing, and federated fine-tuning under tight privacy constraints.

Edge inferenceModel routingFederated FT
§ 04 · Publications

Writing,
in public.

We're preparing the first wave of preprints, technical notes, and post-mortems of deployed systems. Subscribe for the drop.

Get notified →
Forthcoming
GraphRAG with provenance: tracing enterprise answers to source documents
Optivus Labs · Technical note
Forthcoming
Plan-revise-execute: an auditable loop for agentic workflows
Optivus Labs · Working paper
Forthcoming
Tiny evaluators: task-grounded eval harnesses under 100 LOC
Optivus Labs · Technical note
Forthcoming
Semantic retrieval at the edge: when vector DBs are overkill
Optivus Labs · Working paper
§ 05 · Collaborate

Bring us the
hard problem.

We partner with a handful of enterprises a year on research-grade work. Same team, same standards as everything else we ship.