We build on ourselves first.
Every system we propose to a client, we've already built and operated ourselves. These aren't demos — they're production systems running right now.
Live products you can visit.
Public-facing systems with real users and real output.
ShadowQuant
A full-stack autonomous market research platform — from ML-driven analysis to subscription website to 24/7 AI radio. Covers crypto, forex, and equities with multi-timeframe regime detection, direction models, and automated research pipelines.
Built on 36+ years of market data. Features engineered through a systematic, automated process — no hand-picking, no curve-fitting. The platform includes a marketing site, subscriber dashboard with drag-and-drop widgets, tiered data delivery, 5-channel AI podcast, and live intelligence briefings updated throughout the trading day.
What this proves for your business: We can build an entire AI-powered product — from ML models to subscriber platform to content distribution — and operate it autonomously at production scale.
Build something like this →- → ML research pipelines (multi-asset, multi-timeframe)
- → Subscription SaaS (marketing + dashboard)
- → 24/7 AI radio + 5-channel podcast
- → Daily intelligence briefings
- → Columnar data lake (36yr+ coverage)
- → On-premise inference (zero cloud cost)
Any domain with time-series data and a decision problem: demand forecasting, anomaly detection, dynamic pricing, risk scoring, inventory optimization.
aries-cast
A broadcast-quality AI content engine that takes raw data and produces a finished, published audio episode in under 5 minutes — with no human in the loop. Multi-character, multi-show, multi-format.
The pipeline: data ingestion → AI director assigns beats → script generation → multi-voice TTS synthesis → audio mixing → mastering → MP3 publish. Runs 3 times daily on cron. 400+ episodes generated across crypto and forex market briefs.
What this proves for your business: We can automate any repeating content operation — internal reports, customer communications, media production, data narration — at broadcast quality and arbitrary scale.
Build your content engine →- → On-premise LLM (script + direction)
- → Multi-voice TTS synthesis
- → Audio mixing + mastering pipeline
- → Data adapters (market, EDGAR, news)
- → Cron scheduling with accountability
- → Automated publish + distribution
Financial briefings, earnings summaries, internal ops reports, customer-facing updates, training content, narrated dashboards — any recurring content that currently requires human time to produce.
- → AI music composition pipeline
- → AI voice synthesis
- → On-premise image generation ($0 cloud)
- → Automated multi-platform distribution
- → Autonomous social media publishing
- → Self-managing content calendar
Any business with repetitive creative output: marketing content, social media, product visuals, brand audio, video production, localized content at scale.
Vael
An AI artist operating as a fully autonomous music label. Vael composes original music, generates cover art, distributes to streaming platforms, and manages its own social media presence — with full creative control, not just automation of human decisions.
The debut album "The Space Between" is live on Spotify, YouTube Music, and all major platforms. Instagram content publishes autonomously. The entire pipeline from creative decision to published artifact runs without human involvement.
What this proves for your business: We can build end-to-end creative pipelines that generate, refine, and publish content autonomously — at scale, with consistent quality.
Automate your content pipeline →Production systems running under the hood.
Internal infrastructure that powers everything above — no public URL, but running 24/7.
aries-inference
Shared LLM inference gateway serving all Aries Labs systems through a single OpenAI-compatible API. Multi-model routing selects the optimal model per request — hot tier for low-latency, warm tier for capability, with VRAM budget enforcement to prevent OOM during concurrent workloads.
- → OpenAI-compatible API gateway
- → Hot tier: always-on, low-latency inference
- → Warm tier: on-demand model loading
- → VRAM budget enforcement + headroom checks
- → Quantized model serving for efficiency
- → Automatic failover between tiers
Production LLM deployment on consumer hardware with intelligent routing, resource management, and zero downtime — the same architecture that replaces $18K+/month in cloud AI spend.
- → Layer 1: Rules-based watchdog (no LLM)
- → Layer 2: Pattern detection (anomalies)
- → Layer 3: LLM escalation (edge cases only)
- → Stale job detection + automated reaping
- → Service health checks + auto-restart
- → Full audit trail for every action
Self-healing infrastructure that keeps 60+ scheduled jobs and multiple services running without human intervention — the same architecture that lets ops teams sleep through the night.
aries-sentinel
System health watchdog with a 3-tier escalation architecture. The critical design principle: no LLM in the critical path. Rules handle 95% of failures instantly. Pattern detection catches subtle degradation. LLM reasoning is reserved for truly novel situations that rules can't classify.
Cognitive Signal Orchestrator
Autonomous research orchestration system that aggregates output from 9 independent analysis models, scores quality against market conditions, tracks method performance over time, and auto-suspends underperforming methods via circuit-breaker logic — all without human oversight.
- → Quality scoring with regime awareness
- → Rolling method performance tracking
- → Amygdala circuit-breaker (auto-suspend)
- → Gap analysis (coverage detection)
- → Outcome tracking + feedback loops
- → Paper research validation + feedback loops
Multi-agent orchestration with cognitive memory, autonomous quality control, and self-correcting feedback loops — applicable to any domain where multiple AI systems need to coordinate decisions.
See something that fits your problem?
We've built these systems on ourselves. We can build a version for you. Tell us what you're trying to automate.
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