NeuroCraft · Applied neural systems

Neural systems for a
synthetic world.

We build production-grade AI for high-stakes, real-world domains — from detecting synthetic media to simulating flight with deterministic precision. One studio, many products.

What we build

Each product is a focused neural system, engineered for a specific real-world mission.

Built by NeuroCraft

NeuroCraft is an applied-AI studio. We turn frontier neural architectures into dependable products for domains where correctness, speed, and trust are non-negotiable. We ship our own systems and partner with teams who need them.

01

Deterministic by design

Systems you can reason about, reproduce, and trust under pressure.

02

Real-world fidelity

Models grounded in how the physical and information world actually behaves.

03

Built to scale

From a single laptop to networked, multi-user deployments.

Let's build something
that matters

Partner with NeuroCraft, request access to a product, or just say hello.

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Dovira · Active threat monitoring

Truth has a frequency.
We detect it.

Dovira deploys advanced neural architectures to identify deepfakes, synthetic media, and coordinated false narratives in real time — before they spread.

SIG:VERIFIED ✓
ANOMALY:0xF2
HASH:a7c3..9f1b
DEEPFAKE:93.2%
ORIGIN:TRACED
47ms
Avg Detection Latency
99.7%
Deepfake Accuracy
2.1M+
Threats Flagged Daily
140+
Languages Supported

Six layers of defense
against synthetic deception

Our multi-modal detection engine analyzes content across visual, auditory, linguistic, and behavioral dimensions simultaneously.

01

Face Forgery Detection

Identifies GAN-generated faces, face swaps, and reenactment artifacts using spectral analysis and micro-expression tracking.

02

Voice Clone Detection

Detects synthetic speech, cloned voices, and audio splicing through prosodic analysis and neural voiceprint matching.

03

Narrative Graph Analysis

Maps coordinated inauthentic behavior and narrative propagation networks using temporal graph neural networks.

04

Provenance Tracking

Traces media origin through cryptographic watermark analysis, EXIF forensics, and blockchain-verified content chains.

05

Real-Time Stream Analysis

Monitors live broadcasts, social feeds, and messaging platforms with sub-100ms detection latency at scale.

06

Threat Intelligence

Aggregates global disinformation patterns into actionable intelligence reports with attribution confidence scoring.

From ingestion to verdict
in milliseconds

01

Ingest & Decompose

Content is ingested via API, browser extension, or platform integration. Multi-modal decomposition separates visual, audio, and textual signals for parallel analysis.

02

Neural Analysis Pipeline

Specialized detection models run simultaneously — facial forensics, voice authentication, semantic consistency, and provenance verification through our ensemble architecture.

03

Cross-Signal Correlation

Results are fused across modalities. A video with authentic faces but synthetic audio triggers cross-modal flags. Narrative patterns are checked against our threat knowledge graph.

04

Verdict & Response

A confidence-scored verdict is delivered with full explainability — highlighting exactly which signals triggered detection and providing forensic evidence chains.

dovira — analysis session
$ dovira analyze --source media_clip.mp4   → Ingesting media... 3 streams detected → Running facial forensics pipeline... ✓ Face mesh integrity: PASS → Running voice authentication... ✗ Voice clone detected (conf: 97.3%) → Semantic consistency check... ⚠ Temporal anomaly in lip-sync → Cross-modal fusion...   VERDICT: SYNTHETIC MEDIA (0.94) Primary: voice cloning (TTS-GAN v2) Secondary: lip-sync mismatch Report: /out/forensic_a7c3.pdf   $

Recent detections

2026-02-08 • 14:32 UTC
Deepfake

Synthetic video of public official detected across 12 platforms

GAN-generated face swap on legitimate broadcast footage. Propagation traced to coordinated network of 340+ accounts.

Detection confidence: 98.7%
2026-02-08 • 13:17 UTC
False Narrative

Coordinated inauthentic narrative seeded in financial markets

Fabricated earnings report circulated through synthetic news sites and amplified via bot networks to manipulate stock price.

Detection confidence: 94.2%
2026-02-08 • 12:05 UTC
Verified Authentic

Disputed emergency broadcast confirmed as genuine

Media authenticated via provenance chain and cross-referenced with 4 independent sources. Cryptographic watermark intact.

Authenticity confidence: 99.1%

Defend truth
at machine speed

Join our early access program and deploy Dovira's detection engine in your organization.

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Drone Simulator · Flight-true physics

Fly the real thing
before you fly.

A drone simulator with realistic, deterministic physics and faithful models of real-world airframes — from OSD to control response. Train solo or in networked multi-user sessions, then replay every flight.

REC
CAM 1 · 4K60
BAT 92%
14.4V
ALT 124 m
SPD 38 km/h
GPS 14 ◎
HOME 0.4 km

Simulation that behaves
like reality

Every system is tuned for fidelity and reproducibility — what you learn in the sim transfers to the field.

01

Deterministic Physics

Realistic, frame-exact flight dynamics. The same inputs produce the same flight every single run — ideal for training and analysis.

02

Scalable Visuals

Runs from low-spec laptops to high-fidelity GPUs. Visual quality scales without ever changing how the aircraft flies.

03

Real Drone Models

Faithful simulations of real-life drone models — airframes, motors, and control response close to their real-world counterparts.

04

Authentic OSD

On-screen displays and telemetry overlays matched closely to real hardware, so the interface feels exactly like the cockpit you'll fly.

05

Multi-User Networking

Shared, networked environments for squads, instructors, and races — fly together in the same synchronized world.

06

Full Replay

Record and rewind any session. Scrub, review, and analyze every flight for training, debriefs, and incident reconstruction.

Get in the cockpit

Request access to the NeuroCraft Drone Simulator for training, research, or competition.