Integration keeps spreading
Provider-specific payloads, errors, and credentials can become scattered across an application. Switching models then means changing more than one integration.
AsteriaX Labs · AI infrastructure startup
Build with AI.
Keep control of the system.
We're developing ASTER Gateway: one consistent interface for model access, clear request policies, and AI integrations your team can understand.
Early-stage venture · Gateway in development
The company
A focused product. A wider ambition.
AsteriaX Labs is an early-stage technology venture developing AI infrastructure for small software teams. Our lead product, ASTER Gateway, brings model access and request controls into one consistent application boundary.
Our mission
Make AI infrastructure easier to integrate, understand, and operate.
Start with model access. Build the operational layers around it.
Our story & approachThe problem
AI features are only part of the work.
The integration around a model needs just as much care as the model itself. That is the problem we are building around.
Failures are hard to explain
A slow or failed generation can cross several boundaries. Teams need to distinguish application failures, routing choices, and provider behavior.
Experiments need controls
As AI features grow, model selection, usage attribution, and spending policies need a deliberate owner instead of a collection of ad hoc scripts.
Our lead product
Meet ASTER Gateway.
The starting point for AsteriaX: a shared model-access boundary that keeps provider-specific behavior out of application logic.
ASTER Gateway
In DevelopmentOne gateway. Clearer AI operations.
A consistent interface between your application and the models it depends on. Keep provider integration and routing decisions in one deliberate layer.
Explore Gateway
Who we build for
Small teams. Serious AI applications.
Our initial customer focus is developers who need to ship useful AI features while keeping integration and operational decisions understandable.
AI application startups
Small product teams building assistants, document workflows, and AI features that need a consistent path to their chosen models.
Software product teams
Developers introducing AI into an existing application who want provider integration to stay separate from business logic.
Applied AI teams
Engineers comparing model behavior across controlled workloads, with explicit configurations and inspectable request decisions.
Initial use cases
Start with work that matters.
These scenarios guide product validation. They illustrate intended use, rather than customer deployments.
Document understanding
A proposed first workload: extract a structured result from a document, validate it in the application, and retain the chosen model and request outcome. Claude is an initial integration target; an adapter still needs implementation and validation.
Product assistants
Support a team's chosen model behind a shared request contract. Keep application context and access decisions with the application, and provider translation within the adapter.
Controlled model evaluation
Compare supported models against the same workload and evaluation criteria. Measure response quality, latency, and usage before adopting a routing policy.
Business direction
A product business built around the gateway.
Our commercial plan starts with a managed infrastructure layer. Pricing and customer demand will be validated through focused pilots before a public launch.
A managed gateway
The intended commercial offering is a hosted gateway with workspace configuration and request controls. A subscription with usage-based tiers is the pricing model to validate.
Bring your provider account
The initial direction keeps inference billing with the customer's model provider. AsteriaX would charge for the infrastructure layer, with pricing and limits defined before launch.
Start with a focused pilot
Validate one application workload, its adapter contract, and its failure behavior before expanding. Pilot feedback would guide the first supported operations and integrations.
Where we are today
A clear starting point. Inspectable next steps.
AsteriaX is in early product development. Explore the work behind the direction and what still needs to be validated.
Product direction
Gateway has a documented request contract direction, architecture, and validation milestones. The next step is a controlled end-to-end adapter prototype.
Read the product directionInterface studies
Pulse and Flow make proposed observability and workflow responsibilities inspectable. Their previews use synthetic examples and are separate from a live service.
Explore the interface studiesResearch foundation
The collaborators' work covers distributed learning, malware detection, and energy systems, with research questions and methods documented on this site.
Explore the researchThe platform roadmap
Build the core. Then connect the layers.
Pulse and Flow are supporting concepts for request intelligence and asynchronous work. Gateway remains the lead product; each layer has its own development status.
ASTER Pulse
Architecture PreviewSee every request. Understand every decision.
A proposed observability layer connecting model requests, routing decisions, token usage, and provider behavior in one understandable view.
Explore PulseRequest intelligenceSample data
Requests20p95 latency760 msEst. cost$0.04
Architecture preview · Synthetic telemetry
ASTER Flow
Architecture PreviewOrchestrate beyond the request.
A proposed execution layer for the work that outlives an HTTP request: asynchronous jobs, model pipelines, and reliable callbacks.
Explore Flow01Receive event
02Process document
03Generate result
04Deliver callback
Proposed workflow · Checkpoints & bounded retries
The people behind AsteriaX
Research curiosity. Engineering intent.
Meet the collaborators whose work informs our approach to intelligent systems, security, and infrastructure.
Will
Federated Learning & Cybersecurity
Will focuses on how intelligent systems learn from data spread across independent clients. His thesis research examines federated intrusion detection within the existing PROTEAN framework.
Background & researchYoga
Malware Detection & Deep Learning
Yoga explores how software features can become useful signals for malware detection. His research brings together deep representation learning and heuristic feature selection.
Background & researchFaisal
Renewable Energy & Telecommunications
Faisal focuses on the connection between energy availability and reliable telecommunications. His research explores solar-assisted power systems for base transceiver stations.
Background & researchApplied research
A foundation for better engineering.
Our research directions provide a technical foundation for the venture. Their scope, methods, and status are documented separately from product development.
Ongoing Research
Federated Cybersecurity
How federated intrusion detection systems share knowledge across clients whose traffic differs, with a focus on prototype-based methods and rare attack classes.
Explore the direction
Baseline Investigation
Malware Detection
Malware detection that combines deep representation learning with heuristic search for feature selection, starting from careful replication of existing work.
Explore the direction
Exploratory Research
Renewable Telecom
Exploring how renewable sources, particularly solar, can support reliable power for telecommunications infrastructure such as base transceiver stations.
Explore the direction
Connect with AsteriaX
Building the next
AI application?
Explore the product direction or connect about a relevant application workload, technical collaboration, or startup ecosystem opportunity.