Enterprise AI purpose-built for solving fintech and finserve problems.
Savvi is an enterprise-grade AI platform used to build powerful AI Agents and AI Apps trained on your proprietary data. Savvi connects with your data sources and deploys AI through the tools your teams already use. Nothing to rip-and-replace, no costly infrastructure buildouts.
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Why Savvi?
Fintech & Finserve
Savvi is purpose-built for fintech and finserve by a team of fintech insiders with decades of experience in AI.
Secure
Enterprise-grade security and compliance for regulated industries.
Seamless Integration
Seamlessly integrates with your AI stack to deliver AI where you need it - API, JavaScript, Excel, and more.
AI-Powered Infrastructure
Fully-managed, end-to-end AI infrastructure so your teams can focus on outcomes.
Cost Efficiency
AI at scale for a fraction of the cost of building infrastructure and teams from scratch.
Own Your AI Edge
Own your models, AI Apps, and AI Agents, differentiate your product and retain your competitive edge.
How Savvi works
Step 1: Design your AI App
Use our premade templates or a wizard to define your AI Apps (ML or GenAI) that align with your business goals.
Step 2: Connect your data
Use 100s of pre-built connectors to your data store, CSVs, or APIs. We also support cold starts with no historical data.
Step 3: Deploy everywhere & scale effortlessly
Deliver AI seamlessly into your product or tools with built-in AI Ops. Auto-generate endpoints instantly into JS, API, and even Excel.
Step 4: Continuously Learning
Savvi's prebuilt AI pipeline includes retraining, rebalancing, and model version history enabling your AI Apps and AI Agents to continuously improve and drive better results.
AI you can trust in production
Savvi isn’t just about building models. It’s about delivering explainable, auditable, and continuously improving AI. Every feature is designed to turn AI into reliable, trackable outcomes for your business.
Controls & guardrails
Define boundaries for AI-driven decisions so outputs stay within compliance and business rules.
Transparency & explainability
No “black boxes.” Inspect your models, understand why they made a decision, and audit the data behind it.
Results you can measure
Machine learning aligned with your workflows, featuring built-in reporting so you can track performance against real business goals.
Real-time inference at scale
Handle thousands of concurrent AI decisions, predictions, or classifications. Delivering Sub 50 millisecond response times.
Enterprise secure.
Scalable by design.
Built for the most regulated industries, every layer of the Saavi AI platform - from data handling to deployment - is architected to safeguard sensitive information while ensuring the performance required of Fortune 100 financial institutions.
Isolated secure Client Containers
Each client runs in a dedicated, single-tenant environment. Your data, models, and APIs are fully isolated from other customers.
End-to-End Encryption
All data is encrypted at rest with AWS KMS and in transit with TLS/SSL (2048-bit RSA, SHA256).
Strict Access Control
API access is managed with client-specific keys, so you decide exactly who can connect.
Regulatory Compliance
Savvi is SOC 2 Type II certified and regularly penetration-tested to meet enterprise audit standards.
See how Savvi compares with custom-build AI solutions.
Custom Coded AI Solutions
Completeness
End-to-end: data ingestion, model creation, deployment, monitoring, and decisioning in production.
Not componentized, requires stitching together multiple tools, custom code, and ongoing integration work.
Integration / Workflow
Two APIs or one JavaScript tag; auto-scaling infrastructure; continuous learning built in.
Full custom integrations required. Ongoing maintenance and upgrades must be handled manually.
Resources
Your existing team can use Savvi directly, or we can act as an extension of your team through our professional services.
Requires hiring or reallocating engineers, data scientists, and MLOps/ LLMOps and DevOps experts to build and maintain.
Scalability
Automatically scales inference to meet enterprise needs - even for peak periods.
Must design, implement, and maintain a scaling strategy manually. Need specialists to handle network engineering, DevOps & MLOps/ LLMOps.
Time to Value
Deploy AI in days, not months.
Long build cycles; time and resources diverted from solving core business priorities.
Support
Client Success team ensures smooth adoption and measurable outcomes.
All support must be built in-house or the team has to rely on outside consultants.
Transparency & Controls
Model transparency, audit trails, and guardrails included. Al designed to meet the needs of regulated financial institutions.
Must design and implement explainability and controls yourself, ensuring compliance with a constantly changing Regulatory landscape.
Security & Compliance
SOC 2 Type II certified. Isolated and secure data, models, and APIs. Includes model governance and is ready to scale safely.
Must architect security, compliance, and governance frameworks from scratch.
Focus
Focus on business results and ROI, not building out AI infrastructure.
Focus on infrastructure and engineering upkeep, not outcomes