Generative AI Integration
Modernize your legacy software, CRM, or internal portals by seamlessly embedding generative AI capabilities. We build robust middleware APIs that connect state-of-the-art LLMs to your existing systems without requiring a costly ground-up rebuild of your infrastructure.
Core Features
Seamless API Middleware
Custom proxy layers that translate requests from your existing applications into optimized LLM prompts and return structured JSON.
CRM & ERP Enhancement
Integrating AI directly into Salesforce, HubSpot, or SAP to automate data entry, draft emails, and summarize client histories.
Structured Data Extraction
Utilizing LLMs to automatically extract, validate, and normalize structured data from messy PDFs, emails, and unstructured text.
Zero-Downtime Deployment
Deploying AI features as parallel microservices to ensure your core applications remain stable and highly available.
Our Process
Infrastructure Audit & Feasibility
Week 1Analyzing your existing tech stack, API availability, and data structures to determine the optimal integration points.
Middleware Development
Week 2-4Building the scalable integration layer (Node.js/Python) that acts as the bridge between your systems and the AI models.
Prompt Optimization & Formatting
Week 4-5Ensuring the LLM reliably outputs structured data (JSON, XML) that your legacy systems can parse without breaking.
System Integration Testing
Week 6End-to-end testing of the data flow from the legacy UI, through the middleware, to the LLM, and back.
Phased Rollout & Monitoring
Week 7Gradually exposing the AI capabilities to user segments while monitoring system performance and error rates.
Technologies We Use
FAQ
Do we need to rewrite our application to use AI?
How do you handle the latency of AI models in our fast application?
Can you guarantee the AI will output data our system can read?
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