Every business has different challenges - and there's no one-size-fits-all AI solution. Infynno designs and builds custom AI solutions that automate workflows, improve customer experiences, accelerate operations, and create measurable business value. We don't sell AI products. We build AI systems tailored to your workflows, your data, and your customers - across every industry and every business function.
30,000+ Users
AI products serving users in production
AU · UK · USA · India
AI built for real, global markets
LLM · RAG · Voice · Agents
Full-stack AI engineering
Pranthora · MedEntry MAI · Satark AI
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Most businesses know AI can help - few know where to start. Below are the AI solutions Infynno builds, organized by the business problem they solve, not the technology behind them.
Every solution here has been built for real clients - using the same production AI engineering that powers platforms serving 30,000+ users across 4 countries. The technology is the engine. Your business outcome is the destination.
Browse by the business challenge you're trying to solve - not by technology. Click any category to jump to the solutions.
Problem
Your support team spends 60-70% of their time answering the same questions - pricing, features, policies, troubleshooting. Response times are slow. Quality is inconsistent. After-hours queries go unanswered.
AI Solution
A RAG-powered AI chatbot trained on your product documentation, FAQs, and support history - deployed on your website, in your app, or via WhatsApp. Answers routine queries instantly, 24/7, with source citation. Escalates to a human agent with full conversation context when needed.
Benefits
Industries: SaaS · eCommerce · EdTech · Fintech · Healthcare · Professional Services
A quick view of which AI solutions are most impactful by industry - click to explore the relevant solutions above.
Industry
Education & EdTech
Most Impactful AI Solutions
Student Support Assistant · AI Question Generator · Essay Scoring · Parent WhatsApp Summary · Admissions Assistant
Industry
Healthcare
Most Impactful AI Solutions
Consultation Summary · Patient Assistant · Appointment Reminder · Medical Document Processing
Industry
Hospitality
Most Impactful AI Solutions
Voice Booking Assistant · WhatsApp Assistant · Guest Experience Chatbot · Review Response Automation
Industry
Recruitment
Most Impactful AI Solutions
CV Analysis · Candidate Ranking · Interview Scheduling · Document Verification
Industry
Real Estate
Most Impactful AI Solutions
AI Calling Agent · Lead Qualification · Property Recommendation · WhatsApp Assistant
Industry
Retail & eCommerce
Most Impactful AI Solutions
Order Automation · Customer Support Assistant · Instagram DM Automation · Customer Onboarding
Industry
Manufacturing
Most Impactful AI Solutions
Document Processing · Approval Automation · Internal Knowledge Assistant · Reporting Assistant
Industry
Professional Services
Most Impactful AI Solutions
AI Proposal Generator · CRM Automation · Knowledge Assistant · Client Onboarding
Step 01
We start with your business - not with technology. What processes are slowest? Where do your people spend time on repetitive work? Where do customers wait for responses they could receive instantly? What data do you have that could be made intelligent?
Step 02
We evaluate which AI opportunities have the highest impact, the clearest ROI, and the lowest implementation risk. We identify what's achievable with your current data and systems - and what preparation is needed to unlock opportunities that require more groundwork.
Step 03
We design the AI architecture - data flows, model selection, integration points, user interface, escalation logic, and monitoring approach. You see exactly what we're building before we build it. Architecture approved before development begins.
Step 04
A working prototype delivered in the first 2 weeks - so you can interact with the AI solution, evaluate its behavior on real data, and give informed feedback before the full build is complete.
Step 05
Full production implementation - with proper error handling, rate limiting, cost monitoring, semantic caching, escalation logic, and the operational discipline that separates production AI from demo AI.
Step 06
Post-launch monitoring, retrieval quality evaluation, user feedback collection, and continuous improvement - because AI systems improve with data and feedback, and we stay to help them do so.
Every AI solution we build uses the right combination of technologies for the specific problem - not the same stack for every project. We don't lead with technology. We lead with the business outcome you need - then select the right tools to achieve it. Here is what those tools do:
The reasoning and generation layer. OpenAI GPT-4o, Anthropic Claude, Groq-hosted Llama - selected based on your use case's requirements for reasoning quality, speed, cost, and data privacy.
The listening and speaking layer. Whisper for speech recognition, ElevenLabs for natural voice synthesis, Retell AI for real-time conversation management. Powers every voice agent and calling solution.
The seeing layer. Processing images, documents, and visual content. Used in document intelligence, medical image analysis, and product recognition.
The acting layer. LangChain, LangGraph, and PydanticAI for multi-step reasoning, tool use, and stateful workflows. Powers complex AI that takes sequences of actions to complete a task.
The connecting layer. n8n, Make.com, and Gumloop for connecting AI processing to your existing tools and systems - CRM, email, Slack, WhatsApp, databases.
The integration layer. Composio for managed tool access across 250+ business tools. REST APIs, webhooks, and custom connectors for your specific system integrations.
The knowledge layer. Giving LLMs access to your specific content - training on your curriculum, your documentation, your policies - for accurate, source-cited responses grounded in your knowledge.
The retrieval layer. pgvector, Weaviate, and Qdrant for finding the most relevant content from your knowledge base at query time - the foundation of every RAG system we build.
The most immediate ROI from AI is the automation of repetitive, rule-based work - data entry, document processing, routing, scheduling, reporting. Time reclaimed from manual processes goes directly into higher-value activities.
AI makes customer interactions faster, more consistent, and available 24/7. A customer who gets an instant, accurate response at 11pm has a better experience than one who waits until the next business day - regardless of the industry.
Speed is a competitive advantage. In sales, the first vendor to respond to an inquiry wins disproportionately. In support, response time is the primary driver of customer satisfaction. AI eliminates response time as a constraint.
AI surfaces patterns, anomalies, and insights in data that humans would miss or take too long to find. AI-generated reports, recommendation systems, and predictive analytics give decision-makers better information faster.
An AI-augmented team member handles more volume without more hours. A support agent with an AI assistant resolves tickets faster. A recruiter with AI screening reviews 10x more candidates in the same time.
AI allows business operations to scale without proportional headcount increases. A customer support system that handles 1,000 queries per day with AI handles 10,000 with the same team - not 10x the staff.
Automation of manual processes, reduction in error rates, and more efficient resource allocation all contribute to lower operational cost per unit of output - measurable, compounding over time.
AI doesn't need sleep, holidays, or sick days. Customer support, lead qualification, booking, and information delivery continue around the clock - in every time zone your customers are in.
Education - Student Support AI
A UCAT exam preparation platform needed to support 30,000+ students across 4 countries - 24 hours a day, 7 days a week - without proportional growth in tutoring cost.
Infynno built an AI study assistant trained on the full UCAT curriculum using RAG architecture.
Result
24/7 student support across 4 countries, context-aware answers from the actual curriculum, and a feedback loop that continuously improves answer quality.
Cybersecurity - AI Compliance Agent
A cybersecurity startup needed to automate cyber-compliance monitoring for enterprise clients - a domain where manual analysis of regulatory frameworks was creating a bottleneck.
Infynno built a LangGraph-orchestrated AI CISO agent using Claude for long-context regulatory document analysis and a custom RAG pipeline over compliance frameworks.
Result
Automated compliance gap identification, structured audit-ready reports, 500+ security leaders on the waitlist.
Voice AI - Multilingual Calling Agent
A business needed to handle real-time voice conversations across 10+ languages - with natural conversation flow, sub-second response, and telephony integration.
Infynno built Pranthora: Whisper for speech recognition, Groq + Llama for fast inference, ElevenLabs for natural voice, Retell AI for conversation management.
Result
Real-time multilingual voice AI in production across inbound and outbound use cases.
Recruitment - CV Screening Automation
A recruitment agency processing hundreds of CVs per role needed to reduce the manual screening burden without reducing quality.
Infynno built an AI CV analysis and ranking workflow - extracting structured candidate data, scoring against role criteria, and delivering a ranked shortlist with scoring rationale.
Result
CV review time reduced by 80%, consistent evaluation criteria, and recruiters focused on interviewing rather than reading.
Healthcare - Consultation Documentation
A telehealth platform's doctors were spending significant time on consultation notes after every session.
Infynno built an AI consultation summary generator - Whisper for transcription, LLM for SOAP note generation - that produces a draft note for doctor review.
Result
Documentation time reduced significantly per consultation, allowing more patient time in the same hours.
Operations - Document Processing Pipeline
A finance company processing hundreds of incoming documents daily - invoices, contracts, applications - was doing manual data extraction into their management system.
Infynno built a document processing pipeline using Unstructured.io and LLM extraction.
Result
85% reduction in manual data entry, faster processing, and a structured audit trail for every document.
Everything businesses ask us before starting an AI solution.
Yes. Every AI solution Infynno builds integrates with your existing systems - CRM (Salesforce, HubSpot, Pipedrive), communication tools (Slack, Teams, WhatsApp), practice management systems, LMS platforms, email, databases, and custom internal systems - via REST APIs, webhooks, or Composio's managed connectors for 250+ business tools. We design the integration architecture before development begins.
Yes. Workflow automation is one of the most immediate AI opportunities for most businesses. Infynno builds AI automation workflows using n8n, Make.com, and Gumloop - connecting existing tools with AI processing steps that classify, extract, generate, and route data automatically. Common starting points include document processing, lead qualification, approval routing, and reporting automation.
A focused AI solution - a single chatbot, a workflow automation, or a document processing pipeline - typically takes 4-8 weeks from discovery to production. A comprehensive AI solution spanning multiple business functions typically takes 3-6 months in phases. Infynno delivers a working prototype within the first 2 weeks of development so you can evaluate behavior before the full build is complete.
Infynno builds AI solutions for education and EdTech, healthcare, recruitment, real estate, fintech, professional services, SaaS, eCommerce, hospitality, manufacturing, and local businesses. The AI solutions on this page span these industries - most solutions are applicable across multiple industries with configuration changes rather than full rebuilds.
Yes. Every AI solution Infynno builds is custom - designed around your specific workflows, your data, your users, and your business objectives. We don't sell AI products with fixed features. We design AI systems to solve your specific problem. The solutions on this page are starting points and examples - not cataloged products.
Yes. Infynno provides ongoing support and maintenance for every AI solution we build - covering model updates, integration maintenance, performance monitoring, quality evaluation, and continuous improvement. AI systems require ongoing attention because models change, your data evolves, and user behavior reveals new optimization opportunities. Support arrangements are agreed as part of every AI engagement.
The data requirements depend on the specific solution. A customer support chatbot needs your existing documentation, FAQs, and support history. A CV screening system needs your job descriptions and evaluation criteria. A recommendation system needs your product or property database. A consultation summary system needs consultation recordings. The AI Discovery Call is designed to assess your current data readiness and identify what preparation, if any, is needed before building begins.
Data privacy is designed into every AI solution at the architecture level - not added as an afterthought. For data-sensitive applications, Infynno implements on-premise AI using Ollama with open-source models (no external API calls), server-side event processing, data minimization (only the data the AI needs is passed to the model), PII detection and redaction in conversation logs, and enterprise security practices including NDA from Day 1.
Let's identify where AI can create the biggest impact for your organization — and design a solution tailored to your workflows, your customers, and your growth goals. The discovery call is free. The NDA is signed before we discuss your business. The architecture is designed before we write code.
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sales@infynno.com · www.infynno.com · +91 84888-38308