EnclaveAI Studio / Portfolio
Our portfolio brings together Studio products, engineering collaborations and support for independent founders and researchers.
Traceability for the work behind safe clinical care.
Stage: Beta preparation.
Trace by Sterimo is being developed to connect instruments, reprocessing batches, operators and supporting records in one clinic workflow. The aim is to make critical steps easier to record and review.
EnclaveAI is developing the product, workflow architecture and application. Onboarding, dashboard and clinic-environment foundations are in place, with preparation underway for initial user testing.
A clearer starting point for agentic AI.
Stage: Public calibration preview.
Agent Native Scorecard helps teams assess where agents could create value, what evidence is available and what controls a workflow needs.
Built by EnclaveAI, the product offers direct and interview-based assessments, structured recommendations and downloadable reports. A public preview is available, with calibration continuing to improve the usefulness of its recommendations.
Exploring private agentic AI for Australian businesses.
Stage: Customer discovery and offer validation.
MLroo explores how businesses can use agents while retaining control over their information and operations. Its focus is defined workflows supported by local or private infrastructure.
EnclaveAI is developing the offer and technical approach, with customer research into allied-health workflows helping narrow the first use case.
From an agentic AI opportunity to a practical plan.
Stage: Early-stage program.
Alpha Enclaves is the Studio's advisory and delivery program. It helps organisations examine a workflow, identify useful roles for agents and define the permissions, human responsibilities and measures of success an implementation needs.
The Studio's work includes discovery, workflow analysis and evidence-based assessments to guide implementation decisions. Client engagements are confidential.
Engineering experience that connects ideas to products.
Relationship: Engineering collaboration.
Led by Gabriel Gimenes, Go Get Systems brings product discovery, MVP development, fractional CTO support and experience with scaling and migration.
This founder-led engineering business contributes technical leadership and delivery experience to EnclaveAI's collaboration network, supporting the work of turning venture ideas into usable products.
Connecting a golf moment to a shareable video.
Stage: Proof of concept; awaiting field validation.
Ace Addicts brings together player entry, payment, camera footage and clip delivery for golf competitions. The opportunity is to reduce manual handling and make captured moments easier to share.
EnclaveAI's engineering collaboration has developed a proof of concept covering player identification, payment verification, triggered capture and clip delivery, with consent and human review. The workflow uses simulated integrations while validation with installed equipment remains pending.
Helping a founder move from GPU experiments to product features.
Relationship: Founder infrastructure support.
Loovie is CultivX founder Karel Malbroukou's generative-media application. Loovie Community connects users' own GPUs and models to image and single-shot video generation.
EnclaveAI provided an NVIDIA DGX Spark environment where Karel could test model pipelines, build Docker containers and work through how his services connected before cloud deployment. Karel credits this support with helping deliver Loovie's bring-your-own-GPU capability and reports subsequently deploying to a cloud GPU provider.
The case shows how practical infrastructure support can help an independent founder develop portable product capabilities. Karel leads product development.
Understanding how perspective changes a model's judgment.
Status: Active research support.
Angel Felipe Magnossão de Paula researches how language and vision-language models identify sexism in social media. His current experiments compare judgments across tweets, memes and video, including how responses change when models are prompted to adopt male or female demographic perspectives.
EnclaveAI supports this work with access to two NVIDIA DGX Spark machines and hands-on infrastructure operations. This enables sustained local-model experiments within a broader campaign spanning dozens of local and API-accessed models. Angel leads the research and scientific interpretation.
For an agentic AI studio, the question matters: when a model's judgment can influence an action, understanding its sensitivity to instructions and input format helps inform evaluation and human oversight.
A place to test demanding ideas.
Status: In use for research and development.
Spark AI Lab is the Studio-operated GPU environment supporting model experimentation, research and founder development.
Its practical uses include Angel's multimodal research and Karel's container and generation-pipeline development. Shared infrastructure gives collaborators room to test demanding workloads and gives the Studio operational experience relevant to building agentic AI products.