# SEQATO

## About

AI-first software engineering company specializing in FinTech, HealthTech, and enterprise AI solutions.

- Founded: 2015
- Verified: Yes

## Services

### AI Consulting Services
- [Custom AI Platform Development](https://bilarna.com/services/ai-consulting-services/custom-ai-platform-development)

## Pricing

- Model: subscription

## Trust & Credentials

### Certifications
- HIPAA Compliant (HIPAA)
### Compliance
- HIPAA
### Data Security
- HIPAA Compliant

## Frequently Asked Questions

**Q: What is AI-native software engineering and how does it differ from traditional development?**
A: AI-native software engineering is an architectural approach where artificial intelligence is the foundational core of a system, not a later-added feature. Unlike traditional development that may 'bolt on' AI capabilities, AI-native systems are designed from the ground up with continuous data flows, autonomous learning models, and compounding automation. This methodology leads to significant advantages, including faster time to production, reduced operational costs through AI-driven automation, and systems capable of real-time adaptation. It is particularly critical for sectors like FinTech and HealthTech, where it enables predictive analytics, real-time fraud detection, and compliant patient monitoring platforms that learn and improve autonomously.

**Q: What are the key benefits of using an AI-native approach for FinTech and HealthTech platforms?**
A: The key benefits of an AI-native approach for FinTech and HealthTech platforms are enhanced compliance, real-time scalability, and predictive intelligence. In FinTech, this translates to AI-optimized payment routing with sub-50ms latency, real-time fraud detection slashing failure rates to 0.1%, and automated settlement systems that are inherently compliant with standards like ISO 20022, enabling 95% faster transactions. For HealthTech, AI-native architecture enables HIPAA-compliant platforms for remote patient monitoring that provide real-time vital tracking, predictive health alerts to reduce emergency visits by 60%, and automated caregiver coordination. Fundamentally, AI-native design ensures intelligence, security, and regulatory adherence are built into the system's DNA from day one, leading to more reliable, efficient, and life-saving or business-critical applications.

**Q: How to choose a software engineering partner for building an AI-native enterprise platform?**
A: To choose a software engineering partner for an AI-native enterprise platform, prioritize proven expertise in AI-first architecture, domain-specific compliance, and a track record of shipping production-grade systems. First, verify the partner's experience in building systems where AI is the core architecture, not an add-on, ensuring capabilities like autonomous learning models and real-time data pipelines. Second, assess their fluency in your industry's regulatory frameworks, such as ISO 20022 for FinTech or HIPAA for HealthTech, as compliance must be inherent. Third, evaluate their technical stack for modern, scalable technologies like PyTorch, TensorFlow, Kubernetes, and cloud providers (AWS, Azure). Finally, review concrete case studies demonstrating measurable outcomes like reduced downtime, faster transaction settlements, or improved patient outcomes, which validate their ability to deliver impact at scale.

## Links

- Profile: https://bilarna.com/provider/seqato
- Structured data: https://bilarna.com/provider/seqato/agent.json
- API schema: https://bilarna.com/provider/seqato/openapi.yaml