LLM Integration
MedEntry MAI
AI tutor trained on 200K+ medical questions. 30K+ students use it for UCAT prep with 94% answer accuracy.
94%
Answer accuracy
Add Intelligence to Your Existing Platform- Without Rebuilding It
You don't always need to rebuild your product to make it intelligent. We identify the highest-value AI opportunities in your current platform and implement production-ready AI features your users will actually use.
Highest-Value AI Opportunities First
We audit your platform and rank AI features by ROI - no wasted sprints on the wrong problems
Integrates Into Your Existing Stack
No rebuild needed. AI features slot into your current product via APIs and lightweight services
Production-Ready in 3-6 Weeks
From scoping to deployed AI feature - with full QA, monitoring, and fallback logic included
LLM & Voice AIAPI-First IntegrationConfidence MonitoringData Privacy First
3
AI Products in Production
30K+
Users Served by Our AI
10+
Languages Supported
6 wks
Average Time to Deploy
Five AI Capabilities. One Platform.
Each AI feature is scoped, designed, and deployed to solve a specific business problem - not just to add technology.
What You Get
Custom-trained chatbot
Natural language search
Doc processing pipeline
RAG Q&A system
What You Get
Voice agent deployment
Multi-language support
Real-time transcription
Sentiment analysis
What You Get
Automated classification
Smart routing logic
Report generation
Scheduling AI
What You Get
Predictive models
Churn prediction
Anomaly detection
AI dashboards
What You Get
Product recommendations
Next-best-action logic
Personalization engine
A/B test framework
What You Get With Every Integration
AI opportunity assessment report with prioritized list
Architecture design for AI integration
Implemented AI features per agreed scope
Testing and validation for accuracy and reliability
Documentation and team training
Post-integration monitoring and tuning
From Audit to Deployed AI
A structured 7-step process that turns AI ambiguity into working features inside your existing platform.
01
AI Opportunity Audit
We map your current product, workflows, and data to identify where AI creates the most value - and rank by ROI.
02
Prioritized AI Roadmap
You get a ranked list of AI features to build - sorted by impact, feasibility, and time to value.
03
Architecture Design
We design the integration architecture - APIs, data pipelines, model selection, and graceful fallback logic.
04
Model Selection & Setup
We choose and configure the right model - GPT-4o, Claude 3.5, Gemini, Llama 3, or open-source - based on your cost and accuracy targets.
05
Feature Development
AI features are built and integrated into your existing frontend and backend - no disruption, no big-bang rewrite.
06
Testing & Validation
Accuracy, latency, edge-case, and user-acceptance testing before any feature is promoted to production.
07
Deploy & Monitor
Live deployment with full observability - confidence tracking, cost monitoring, and automated performance alerts.
Most AI features go live in 3-6 weeks
We scope tightly, build lean, and ship fast - so you see real AI value before expanding the integration further.
Best-in-Class AI Tools. Right Model for the Right Job.
We select the best model and tooling for your use case - not what's trending.
LLM Providers
Battle-tested llm providers tools we ship in production every week.
Technologies
- GPT-4o
- Claude 3.5
- Gemini 1.5
- Llama 3
- Mistral
- Groq
AI Products We've Already Shipped
Not demos. Real AI in production.
Voice AI
Pranthora Voice Platform
Our own voice AI platform supporting real-time conversations in 10+ languages with sub-200ms response latency.
10+
Languages
AI Automation
Satark AI Security
AI-powered threat detection and security analytics platform trusted by 500+ security leaders globally.
500+
Security leaders
Everything About AI Integration
Common questions before adding AI to your existing platform.
No. We integrate AI into your existing platform via APIs and lightweight services - the goal is to add intelligence without disruption or full rewrites.
We select the best model for your use case - GPT-4o, Claude 3.5, Gemini 1.5 Pro, or open-source alternatives like Llama 3 and Mistral - based on accuracy, cost, and latency requirements.
Most single AI features (chatbot, document intelligence, recommendations) are production-ready in 3-6 weeks. Multi-feature integrations typically run 8-12 weeks.
It depends on the feature. Chatbots need historical conversations or a knowledge base. Recommendation engines need interaction data. We audit your data readiness in week one.
Yes. We follow strict data privacy protocols - your data is never used to train public models. All processing happens in your isolated environment with full data agreements in place.
Yes. We use feature flags and staged rollouts so AI features launch independently without affecting existing functionality or requiring maintenance windows.
We build confidence thresholds, fallback logic, and human-in-the-loop escalation into every AI feature. If confidence drops below a defined threshold, the system escalates gracefully rather than failing silently.
Ready to Start?
Get a Free AI Opportunity Audit
We'll map your platform, identify the top 3 AI features to add, and give you a timeline and cost estimate - at no charge.
Start building
- 1
1. Book a call
- 2
2. Platform audit
- 3
3. AI roadmap
- 4
4. Start integration
🧠 Model-Agnostic🔗 API-First Integration📊 Confidence Monitoring🔒 Data Privacy First