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.
ShadowQuant
A fully autonomous ML trading intelligence system operating across crypto and forex markets. Multi-timeframe regime detection identifies market state. Direction models generate signals. Entry/exit logic executes positions — all without a human in the loop.
Built on 36+ years of market data spanning equities, crypto, and forex. Features engineered through a systematic process — candidates generated, autoencoder-reduced, SHAP-selected. No hand-picking, no curve-fitting.
What this proves for your business: We can build end-to-end ML systems that ingest live data, make decisions, and take actions — autonomously, reliably, at production scale.
Build something like this →- → DuckDB + Parquet data lake
- → Multi-engine ML (XGBoost, LSTM, RF, HMM)
- → SHAP feature selection
- → A/B experiment registry
- → On-premise inference (zero cloud cost)
- → Grafana monitoring dashboards
Any domain with time-series data and a decision problem: demand forecasting, anomaly detection, dynamic pricing, risk scoring, inventory optimization.
- → AI composition (Suno)
- → AI voice synthesis (ElevenLabs)
- → ComfyUI image generation (on-premise)
- → Automated distribution (Ditto)
- → Instagram Graph API publishing
- → Autonomous 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 via the Graph API. 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 →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. 35+ 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.
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.
Contact Us