Built for Scale. Designed for Impact.
SEQATO is an AI-first engineering company that partners with enterprises to design, build, and operate intelligent systems at production scale. From predictive engines in healthcare to fraud detection in payments, our teams have been deploying real AI since 2015, long before it became a boardroom buzzword.
LLMs, RAG pipelines, predictive models, computer vision, NLP at production scale.
Cloud-native systems, microservices, Kubernetes, real-time data pipelines.
Deep knowledge in healthcare regulation, financial compliance, and supply chain ops.
We believe AI should augment human decision making, not obscure it. Every system we build is transparent, explainable, and designed to operate within the regulatory frameworks our clients navigate daily.
"We do not chase AI for the sake of AI. We pursue it because the problems our clients face, from diagnosing patients faster to catching fraud in milliseconds, demand intelligence that works at scale, under pressure, every single time."
Explainable outputs, audit trails, and human-in-the-loop safeguards baked into every system.
Enterprise-grade from day one. Our architectures handle millions of events and never sacrifice reliability for speed.
HIPAA, PCI-DSS, ISO 20022, GDPR. We engineer compliance into the system, not as an afterthought.
Production-tested capabilities, not research experiments.
Forecasting models for demand planning, patient risk scoring, and financial trend analysis. Built on real-world data, not toy datasets.
End-to-end machine learning infrastructure: training pipelines, model registries, feature stores, A/B testing, and automated retraining.
LLM-powered copilots, document intelligence, content generation, and code assistants tuned for enterprise workflows.
Object detection, anomaly recognition, fall detection, quality inspection, and real-time video analytics on edge and cloud.
Intent recognition, sentiment analysis, multilingual chatbots, and document understanding that actually works in production.
AI-powered decision engines for pricing optimization, resource allocation, risk scoring, and operational planning.
We build AI systems for healthcare organizations that need clinical-grade reliability, regulatory compliance, and real patient impact.
Continuous vital sign tracking via wearables with AI-driven alerts for early intervention before conditions escalate.
ML models that identify high-risk patients before symptoms appear, enabling proactive care and reducing hospital readmissions.
Intelligent chatbots and virtual assistants that handle appointment scheduling, medication reminders, and care plan adherence.
Automated clinical documentation, intelligent triage, and care pathway optimization that saves hours of clinician time daily.
Computer vision systems for elderly care facilities that detect falls, wandering, and behavioral anomalies in real time.
HIPAA-compliant data handling, automated audit trails, and regulatory reporting that keeps your organization inspection-ready.
We did not just consult on healthcare AI. We built SEQACare, a production-grade remote patient monitoring platform serving 10,000+ patients with wearable integration, predictive health alerts, and automated caregiver notifications. It is the proof behind our promise.
Our fintech AI systems process billions in monthly volume while maintaining sub-millisecond fraud detection and full regulatory compliance.
Real-time transaction scoring with explainable AI that flags suspicious patterns while minimizing false positives. PCI-DSS compliant.
Continuous surveillance of payment flows, cross-border transfers, and settlement chains. AI-driven anomaly detection at scale.
Intelligent matching engines that reconcile millions of transactions daily, reducing manual effort by 90% and catching discrepancies instantly.
Dynamic credit and counterparty risk assessment using ML models trained on financial behavior, market signals, and alternative data.
360-degree customer profiling, churn prediction, lifetime value modeling, and personalized product recommendations.
Automated KYC/KYB checks, sanctions screening, ISO 20022 messaging compliance, and real-time regulatory reporting.
Our payment infrastructure platform handles AI-optimized routing, real-time fraud detection, and ISO 20022 compliant messaging. With a 0.1% failure rate and 95% faster settlement times, SEQAPay is the backbone of mission-critical financial operations.
Seven high-impact use cases where we deploy AI to transform supply chain operations from reactive to predictive.
ML models that predict demand patterns using historical data, seasonality, market signals, and external variables. Reduce overstock by 30% and stockouts by 45%.
Dynamic reorder point calculation, safety stock optimization, and multi-echelon inventory planning that balances cost with service levels.
AI-powered logistics routing that factors in traffic, weather, delivery windows, and fuel costs. Cut delivery costs by 20% and improve on-time rates.
Smart pick-path optimization, robotic process coordination, and inventory placement algorithms that boost throughput by 40%.
Real-time monitoring of shipment conditions, transit times, and chain-of-custody. AI flags deviations before they become disruptions.
Continuous assessment of supplier reliability using financial health data, delivery history, geopolitical signals, and alternative data sources.
IoT sensor data + ML models that predict equipment failure before it happens, reducing unplanned downtime by 65% across fleet and facilities.
Real-time computer vision systems deployed on edge and cloud, processing video feeds to detect, classify, and respond to events as they happen.
Pose estimation and motion analysis for elderly care, hospitals, and assisted living. Instant alerts to caregivers within seconds of a fall event.
Pattern recognition for unusual behavior, crowd dynamics, loitering detection, and safety zone violations in public and industrial spaces.
Intelligent video monitoring with perimeter intrusion detection, vehicle tracking, license plate recognition, and threat classification.
Quality inspection, defect detection, PPE compliance checking, and assembly line monitoring using high-speed vision systems.
Non-contact vital sign estimation, patient mobility tracking, and visual alerting for nursing staff in ICU and recovery wards.
Heatmap generation, customer journey tracking, queue management, and shelf compliance monitoring for retail environments.
Our vision AI systems are designed for dual deployment. Low-latency inference runs on edge devices (NVIDIA Jetson, Coral TPU) for real-time response, while complex analytics and model retraining happen in the cloud. This hybrid approach delivers sub-100ms response times with full scalability.
These are not marketing claims. These are the operating principles our clients experience from day one.
We are not consultants who hand you a deck. We are engineers who build, deploy, and maintain production AI systems. ML models, data pipelines, APIs, frontends, the whole stack.
Most firms hand off between teams. Our squads take you from a rough idea to a working POC in weeks, then scale the same codebase to enterprise production. Zero handoff friction.
We understand HIPAA, PCI-DSS, ISO 20022, and the specific workflows in healthcare and fintech. Our engineers speak the language of the industries they serve.
Every model we ship comes with interpretability built in. Audit trails, feature importance, decision explanations. Because regulators and clinicians need to trust the output.
Pre-built components, reference architectures, and tested blueprints for common AI patterns. We do not start from scratch every time. That is how we move 3x faster.
We de-risk your AI investment with affordable proof-of-concept engagements. See real results on your data, with your constraints, before committing to a full build.
We design for the messy reality of enterprise systems: legacy integrations, multi-region compliance, zero-downtime deployments, and teams that need to maintain what we build.
We align our success with yours. Fixed-scope, outcome-based pricing for defined milestones. You pay for results, not hours.
Real data. Real results. Real decision in weeks, not months.
No pitch decks. No fluff. Tell us the problem, and we will show you what AI can do about it. Start small, prove fast, scale with confidence.
2 to 4 weeks. Validate the AI opportunity on your data with a working prototype.
6 to 12 weeks. Production-ready minimum viable product with real users and real feedback.
Full-scale AI platform engineering with dedicated squads, SLAs, and long-term partnership.