Your product should
already have AI.
Edge-X.ai is the R&D team B2B SaaS companies, resource industries, and defense programs deploy when AI can't wait. We prototype, engineer, and ship — in 90 days, not 18 months.
to working prototype
IoT & GTM experience
development
Your competitors are shipping AI features.
You're still in planning.
Building an in-house AI team takes 12–18 months and $2M+ in fully-loaded headcount. Big consulting firms charge the same — for strategy decks, not shipped code. There's a better path.
You can't hire fast enough
Senior ML engineers take 6+ months to recruit. The best join FAANG. Your roadmap can't wait for a talent search.
Your data never leaves the building
SaaS AI vendors require uploading your customers' data. In mining, defense, and industrial settings, that's non-negotiable.
AI projects fail at integration
80% of enterprise AI pilots never reach production. The gap isn't the model — it's the last mile: your stack, workflow, your customers.
You need results, not research
Consultants write whitepapers. We ship working systems. Every engagement ends with code you own, not slides you shelve.
Four capabilities.
One team.
We don't sell retainers. We deliver outcomes — working AI embedded into your product, your pipeline, and your operations.
Edge Analytics & On-Device AI
AI that runs on the device — not the cloud. Sub-100ms inference at mines, rigs, vehicles, sensors, and air-gapped systems. Zero latency. Zero cloud dependency.
- TinyML and embedded model optimization
- Real-time anomaly detection on sensor streams
- On-device computer vision and NLP
- Hardware-agnostic: NVIDIA Jetson, Coral, custom SoC
- Offline-first architecture for remote operations
Federated Machine Learning
Train models across distributed sites — factories, mines, vehicles — without a single byte of raw data leaving the source. Privacy by architecture, not policy.
- FedAvg and differential privacy implementation
- Cross-silo and cross-device federation
- GDPR, HIPAA, data-residency compliant by design
- Secure aggregation protocols
- Performance monitoring in distributed environments
AI Integration for B2B SaaS
Intelligence embedded into your product — deeply, not as a wrapper. AI that makes your core product 10× more powerful, increases ACV, and reduces churn.
- AI feature design and rapid prototyping
- Model fine-tuning on your proprietary data
- API-first architecture for seamless integration
- Customer-facing AI in your UI and stack
- GTM support: positioning, pricing, launch playbook
R2R Communication & Autonomous Systems
Proprietary robot-to-robot intelligence protocols for industrial fleets and autonomous swarms. Decentralized coordination without a central controller.
- Decentralized multi-agent coordination
- Shared inference and emergent behavior design
- Low-latency mesh communication protocols
- Industrial fleet management AI
- Swarm architecture for defense and logistics
From brief to production.
Three steps.
Every engagement produces working software — not research — at every milestone.
Diagnose
2-week deep-dive into your stack, data, and customers' unmet needs. We map exactly where AI creates leverage. You get a written technical brief and 90-day build plan before we sign anything.
Build
Rapid iteration in 2-week sprints. Working demos at every sprint boundary. No black-box R&D — you see the model, code, and benchmark results in real time. We build on your infrastructure.
Deploy & Own
Production deployment with your team fully in the loop. Comprehensive documentation, knowledge transfer, and optional ongoing optimization. Everything we build is yours — always.
Diagnostic to working prototype in 90 days. Full production deployment in 6 months.
Start the DiagnosticBuilt for environments
where AI is hardest.
We specialize in the industries generic AI vendors ignore — where data sovereignty, latency, and reliability are non-negotiable.
Your product, now intelligent.
Your customers expect AI. Your roadmap is full of AI features. Your engineers are maxed on the core product. We are the AI team you can't hire fast enough — embedded in your sprint cycle, shipping features your customers will pay more for.
Predictive alerts embedded in dashboard
Fine-tuned anomaly detection surfacing actionable alerts in the customer's existing workflow — no new UI, zero friction adoption.
Domain LLM fine-tuned on proprietary data
A customer-specific language model that speaks your industry's terminology and generates outputs your customers trust.
AI co-pilot for complex workflows
Context-aware AI assistant embedded in multi-step enterprise workflows. Reduces task completion time, increases platform stickiness.
Intelligence where the signal ends.
Underground mines, open-cut pits, remote processing facilities — your most valuable operations have the worst connectivity. We build AI that works entirely on-device, without a cloud handshake, in the harshest conditions.
Autonomous haul truck coordination
Edge-AI navigation and fleet coordination. Route optimization, terrain adaptation, collision avoidance — without cloud latency.
Real-time safety monitoring on-device
Computer vision detecting PPE compliance, proximity hazards, and fatigue indicators in real time on local hardware.
Federated learning across multiple mine sites
Shared optimization model trained across your entire portfolio without transferring production data between sites or to the cloud.
On-platform. Air-gapped. Auditable.
Defense AI can't wait for a cloud round-trip. Can't send mission data off-platform. Needs human oversight, explainable outputs, and certified security. We build AI for classified environments — fully air-gapped, with full audit trails.
On-platform sensor fusion and classification
Multi-modal sensor fusion on-board. Object classification, intent recognition, threat assessment without cloud connectivity.
Predictive logistics for mission-critical assets
Predictive maintenance and inventory optimization for critical equipment fleets — operating within classified networks.
Secure R2R coordination for autonomous platforms
Decentralized coordination protocols for autonomous vehicles in contested electromagnetic environments.
Grid-edge intelligence.
Energy operations generate more sensor data than any cloud system can cost-effectively process. We push intelligence to the edge — substations, turbines, pipelines — where real-time decisions happen and data costs matter.
Substation AI for fault prediction
Edge-deployed models monitoring transformer health and line loading — issuing alerts before equipment failure.
Federated learning across distributed wind farms
Shared predictive maintenance model trained across your fleet without centralizing proprietary operational data.
Pipeline integrity monitoring with edge AI
Acoustic and pressure sensor analysis running on pipeline edge nodes — detecting micro-leaks at the source.
Robots that think together.
The next wave isn't one smart robot — it's a fleet that learns collectively, coordinates without a central controller, and adapts to conditions no human programmed. We build the intelligence layer that makes that possible.
Multi-robot task allocation and coordination
Dynamic task distribution across a heterogeneous robot fleet — each agent aware of the others' state.
Swarm navigation in unstructured environments
Adaptive path planning for robot swarms in warehouses, mine tunnels, or field environments — no pre-mapped routes.
R2R communication protocol licensing
License our proprietary robot-to-robot intelligence protocols. Reduces your R&D timeline by 12–18 months.
Not a consulting firm.
Not a product company.
We occupy the gap between a strategy deck and a production system. Every engagement produces working software, trained models, and IP you own — in the time it takes most firms to scope a project.
A century of hard-won
AI and IoT experience.
No junior associates. No generalist consultants. Every person on your project has shipped production AI, built enterprise SaaS from zero to scale, and operated in the industries we serve.
Years Combined Experience
In AI, IoT, and product GTM across enterprise software, heavy industry, and defense programs.
Core Domains
Edge AI engineering, federated ML systems, and enterprise product commercialization — not generalists.
Patents in Development
Active patent filings across edge inference optimization, federated learning protocols, and R2R communication.
Overhead Passed to You
No partner billing rates. No MBA associates. You pay for senior engineering and domain expertise only.
AI + IoT + GTM
Built by practitioners, not theorists.
The Edge-X.ai team has shipped AI systems into production across mining operations, SaaS platforms, industrial IoT deployments, and defense programs. We've been the in-house engineers at the companies you're trying to compete with.
We don't write whitepapers about AI. We write code that runs at the edge, in the dark, without a cloud handshake — and we've been doing it before "edge AI" was a category.
The moat is the mission.
Every engagement produces defensible intellectual property. Patents, frameworks, and protocols that compound in value.
Adaptive Edge Inference Optimizer
Dynamic model compression adapting inference precision to device power budget, temperature, and latency requirements in real time. Full-accuracy AI on constrained hardware.
FedX Federated Learning Protocol
Secure aggregation framework optimized for high-latency, intermittent-connectivity environments. Outperforms FedAvg by 34% in convergence speed under dropout conditions.
Differential Privacy for Industrial Time-Series
Novel differential privacy mechanism for industrial sensor streams. Maintains model utility while providing formal privacy guarantees across competing operators.
R2R Intelligence Mesh Protocol
Decentralized inter-robot intelligence sharing. Shared inference and emergent coordination without a central controller, in denied communications environments.
EdgeDeploy: Zero-Friction AI Deployment
End-to-end toolchain for deploying, monitoring, and updating AI models on heterogeneous edge hardware at scale. OTA updates, A/B rollouts, rollback, and full audit logging.
Multi-Site Anomaly Correlation Engine
Cross-site anomaly correlation using federated pattern matching — identifying systemic failure signatures across distributed assets without exposing site-level data.
Three ways to work with us.
Designed to match where you are — from a fast prototype sprint to a full R&D partnership to pure IP licensing.
90-Day AI Prototype
The fastest path from "we need AI" to a working, customer-demonstrable prototype. Fixed scope. Fixed timeline. Fixed price. No surprises.
- 2-week technical diagnostic and architecture brief
- One scoped AI capability, production-quality code
- 3 sprint demos with working software
- Deployment documentation and handoff
- 30-day post-launch optimization support
Full R&D Partnership
Embedded AI R&D team delivering multiple capabilities, shared IP development, and go-to-market support. For companies where AI is strategic, not tactical.
- Dedicated senior AI engineering team
- Monthly IP development milestones
- Patent strategy and filing support
- AI feature GTM: positioning, pricing, launch
- Quarterly reviews with acquisition readiness scoring
- Option to co-own derivative IP
IP & Protocol Licensing
License our existing patents, frameworks, and protocols. 12–18 months of R&D head start without the build cost. Perpetual or term licenses available.
- FedX Federated Learning Protocol
- R2R Intelligence Mesh Protocol
- EdgeDeploy deployment toolchain
- Integration support included (first 90 days)
- Co-development option available
Questions we get asked
before every engagement.
Yes, completely. All code, trained models, and IP derived from your data belongs to you. We retain no license to use anything we build for you — and we put that in writing before we start. The only IP we retain is our proprietary pre-built tooling and protocols, which we license to you separately if used.
We build inside your environment — your cloud account, your on-premise infrastructure, your air-gapped network. No data leaves your perimeter. We can operate under any classification level and support NDAs, data processing agreements, and security clearance protocols. Data sovereignty is the core technical architecture we design around.
Because we've built this before. Most firms spend 6 months on discovery for problems we've already solved in prior engagements. We bring pre-built frameworks, reusable components, and institutional knowledge from similar deployments — so your 90 days is almost entirely building, not learning. We also scope tightly: the 90-day prototype is one well-defined capability, not the entire AI roadmap.
Depends entirely on your customers. If they operate in connectivity-constrained environments, cloud AI will fail them. If they're in regulated industries, cloud AI creates compliance risk. And if you're paying per-API-call for inference, edge deployment cuts COGS dramatically at scale. We'll tell you honestly in the diagnostic which approach is right — we're not dogmatic about the edge.
The 90-Day Prototype Sprint starts at $150,000 for a single, well-scoped capability. Full R&D Partnerships are typically $250,000–$800,000 for a 6-month engagement. IP licensing is priced per protocol and use case. Our 2-week diagnostic is $15,000, credited in full against any subsequent engagement.
That's our preferred model. We embed into your sprint cycle, use your existing tools, and treat your engineers as permanent partners. The goal is knowledge transfer — by the time we're done, your team can maintain and extend the systems we've built without us.
Yes. We work globally, with the exception of defense engagements where export control regulations apply. For resource industry and B2B SaaS clients, geography is not a constraint — we've deployed systems across North America, Australia, Southeast Asia, and Europe.
Your competitors aren't
waiting. Neither should you.
Tell us what you're building. We'll respond within 24 hours with a concrete next step — not a sales pitch.