01
Multi-Agent State Arbiters
Fast models can handle routing, linting, boundary checks, and state transitions while larger frontier models are reserved for structural synthesis and harder visual reasoning.
ROUTINGLINTINGSYNTHESIS
Campus Founder Preview | High-Compute Multi-Agent Infrastructure
Building Sub-Second Conversational Slide & Diagram Synthesis.
Sentryx Labs is building an orchestration engine that turns real-time discourse and structured technical documentation into deterministic, vector-rendered presentations with low-latency interactive delivery. The current prototype is in active testing and internal validation.
Prototype access for builders, researchers, and design partners.
PEOPLE×MODELS×KNOWLEDGE×VISUALS
sentryx@labs ~/synthesis
10:14:01 initializing agents...
10:14:02 webrtc stream connected ✓
10:14:02 audio buffer: 48kHz, 2ch
10:14:03 arbiter: context window split
10:14:03 routing to specialist models...
10:14:04 docs parsed: 12 chunks
10:14:04 layout-ast compiled ✓
10:14:04 svg frame emitted ✓
10:14:05 stream delta: 36 KB
10:14:05 target first-frame latency: < 400 ms
10:14:05 ready for next turn _01 / ARCHITECTURESYSTEM DESIGN
Why This Needs High-Compute Inference
Real-time discourse. Structured knowledge. Deterministic visuals. Each stage is separated so fast, inexpensive models can protect latency while heavier reasoning is reserved for moments that need it.
02
Deterministic Vector Compilation
The prototype translates technical diagrams and slide structures into SVG/Canvas layouts through an AST, explicit constraints, and bounding-box validation.
ASTCONSTRAINTSSVG/CANVAS
03
High-Throughput Context Ingestion
Live transcripts and technical documentation are chunked, parsed, and summarized in parallel so downstream synthesis can operate on compact, task-specific context.
AUDIODOCSPARALLEL
02 / PIPELINEFROM CONVERSATION TO VISUALS
Four Stages of the Synthesis Loop
A real-time pipeline that turns incoming discourse into structured context, validated layout instructions, and vector-rendered presentation frames.
01
Stream Ingestion
WebRTC / WebSocket audio and text capture.
LIVE AUDIOTRANSCRIPTSDOCS
02
LLM Orchestration
Hierarchical chunking, routing, and task-specific context assembly.
ROUTINGCONTEXTMODELS
03
AST & Layout Engine
Constraint solving, grammar checks, and bounding-box validation.
DIAGRAM ASTLAYOUTVALIDATION
04
Vector Delivery
Interactive SVG / Canvas output for live presentation surfaces.
REAL-TIMEVECTOREXPORT
03 / BENCHMARKSENGINEERING TARGETS
Prototype Targets Under Validation
These values are engineering goals used to guide implementation and testing. They are not public SLA commitments or independently verified benchmarks.
< 400 ms
target first-frame latency
Deterministic
vector compile path by design
< 50 ms
target AST grammar lint pass
i Current figures represent engineering targets and internal validation goals; measured results may vary as the prototype evolves.
BUILT FOR
TECHNICAL TEAMS
WHO THINK IN
DIAGRAMS.
TECHNICAL TEAMS
WHO THINK IN
DIAGRAMS.
Static ExportSVG / PNG-ready surface
Edge DeployableStatic frontend + API hooks
Cloudflare / VercelZero-build static hosting
API PreviewFor builders & design partners
04 / DEVELOPER SURFACESTATIC FRONTEND, LIVE BACKEND HOOKS
Designed to expose the system, not hide it.
The landing page is intentionally explicit about the architecture, validation status, and resource profile. API and model-provider integrations can be connected behind the static frontend without changing the deployment model.
waitlist-hook.js
form[data-endpoint="https://formspree.io/f/…"]
POST {
"email": "builder@lab.com",
"source": "landing-page"
}
// Empty endpoint => local demo success state.05 / GET EARLY ACCESS
Help Shape the Next Generation of Visual AI Infrastructure.
Join the prototype waitlist for testing access, API updates, and early design-partner conversations.