Purpose-built decisions database engine — powered by ADAAS

Ultra-Fast Decisions Database

A self-contained database engine built for high-performance operations across gaming, fintech, and adtech. Matchmaking, segmentation, caching, queues — all in under 0.2ms. No pipeline delays. No reindexing.

<0.2msQuery latency
160+Jurisdictions
59%Studios go hybrid
Gaming · Real-time matchmaking at scale Fintech · Fraud detection in microseconds Adtech · Zero-latency bid decisions Caching · Sub-millisecond hot data reads Feature Store · Live ML feature serving Queues · Concurrency-safe, high-throughput Leaderboards · Fast & scalable sorted sets Gaming · Real-time matchmaking at scale Fintech · Fraud detection in microseconds Adtech · Zero-latency bid decisions Caching · Sub-millisecond hot data reads Feature Store · Live ML feature serving Queues · Concurrency-safe, high-throughput Leaderboards · Fast & scalable sorted sets
Industries

Built for every
real-time domain.

01 / 03 🎮
Gaming & Entertainment

Real-time matchmaking, live leaderboards, player segmentation, and session decisions at massive scale. Drop into your existing stack — no overhaul required.

Matchmaking · Leaderboards · Segmentation
02 / 03 🏦
Financial Services

Secure, auditable financial insights in real time. Meet data protection requirements across 160+ jurisdictions with full decision audit logs and self-hosted data residency.

Fraud Detection · Audit Logs · Compliance
03 / 03 📡
Adtech

Real-time ad decisions, zero-latency. Serve personalized bids and targeting logic live on every impression — no batch pipeline, no stale audience data costing revenue.

Bidding · Targeting · Real-Time Events
Architecture

Three components.
One engine.

01
Match
Converts multi-dimensional behavioral signals — skill, playstyle, spending tier, session length — into high-quality, flexible matches. Not just MMR.
02
Core DB
Stores entities as behavioral vectors. Resolves segment queries in under 0.2ms, live during runtime. No reindexing on schema changes. Add new dimensions without migration.
03
Console
Monitor, debug, and safely adjust policies and rollouts in real time. LiveOps managers act without an engineering deploy. Full decision audit trail built in.

Most stacks classify users on data that's hours old. Auxta stores entities as multi-dimensional behavioral vectors and resolves segment queries in under 0.2ms — live, with no pipeline delays and no reindexing.

Add new behavioral dimensions without migration — critical for teams shipping updates every 2–4 weeks. Your data never leaves your infrastructure. Auxta stores only the parameters you define.

Live computed dimensions like totalWins, churnRiskScore, and consecutiveLosses — always current, updated on every session event in real time.

<0.2ms
Segment query
0
Reindex needed
90+
Dimension types
Micro-segments
Capabilities

The best for.

01
High-Performance Caching
Low latency · Memory efficient

Sub-millisecond reads and writes for hot data paths. Replace bloated caching layers with a single, unified engine that scales without reindexing.

02
Real-Time Feature Store
Live feature serving · ML pipelines

Serve features to ML models and decision engines in real time. No batch jobs, no stale feature lag between training and inference.

03
Message Queues
High-throughput · Low-failure rates

Concurrency-safe queues that handle bursts of events without data loss or race conditions across distributed workers at scale.

04
Sorted Sets & Leaderboards
Real-time rankings · Zero lag

Fast and scalable sorted sets for live leaderboards. Update at high frequency with no consistency issues or lock contention.

Advantages

Why Auxta.

No Reindexing on Schema Changes

Add new behavioral dimensions without migration. Critical for teams shipping updates every 2–4 weeks. Your schema evolves without downtime.

Self-Hosted, Your Environment

Auxta stores only the parameters you define. Your data never leaves your infrastructure — satisfying the strictest data sovereignty requirements.

Live Computed Dimensions

totalWins, consecutiveLosses, churnRiskScore — always current, computed on every session event. No batch jobs, no lag.

Monitoring & Segment UI

LiveOps and ops teams fine-tune segments in real time without an engineering deploy. Full decision audit log for compliance.

Seamless Integration

Write on session events, query on decisioning moments. Narrow integration surface — no data platform overhaul required.

MCP & AI Agent Ready

Communicate directly with the database server via MCP commands. Native integration to improve your AI agents and automated decision flows.

Problems We Solve

Know exactly
who your
user is.

Problem 01
Coarse Segments

3–5 buckets can't capture real behavioral variance. You're making expensive decisions on oversimplified classifications that miss the nuance your users represent.

Problem 02
Batch Latency

Nightly classification means every offer, bid, or decision fires on yesterday's user state. Revenue is lost to stale data every single hour of the day.

Problem 03
Fragmented Data

Spend, behavior, and session data sit in separate systems with no unified view, no real-time correlation, and no single source of truth across your stack.

Problem 04
Revenue Gap

10–30% of addressable revenue sits in the delta between stale and live classification. Auxta closes that gap — in real time, on every event.

10–30%

Revenue lost when decisions run on stale user data — the gap Auxta is purpose-built to close on every event.

59%

Of pro studios going hybrid to avoid vendor lock-in, driving demand for self-hosted, portable database solutions.

160+

Jurisdictions with data protection laws requiring transparency, full audit trails, and strict data residency controls.

Ready for
a pilot?

We'll benchmark your workload against your current stack and show measurable, reproducible gains before you commit to anything.

What engineers say
"We cut classification latency from 800ms to under 1ms. Same infrastructure, different engine."
— Engineering Lead, Live Game Studio