E2X Infotech builds AI-powered features and automation systems — chatbots, predictive analytics, workflow automation, and LLM-powered tools — that remove manual, repetitive work from your operations and your product.
At E2X Infotech, we build AI-powered features and automation systems that cut manual work out of your operations — without adding new complexity to your stack.
LLM-powered chatbots trained on your data, integrated into your website, app, or support workflow.
Automating repetitive operational tasks — data entry, approvals, notifications, reporting.
Machine learning models that forecast demand, churn, or risk from your existing business data.
GPT-class models wired into your product for search, summarization, content generation, and internal tools.
Image and video analysis for quality inspection, OCR, and automated content moderation.
Personalization and recommendation systems that lift engagement and conversion using your own user data.
At E2X Infotech, we start from a concrete workflow bottleneck, not a buzzword. Every engagement ships a working automation before we ever talk about scaling it into a full AI platform.
Our approach begins with the actual manual task costing your team time — a support queue, a reporting spreadsheet, an approval chain — and we build the smallest AI or automation layer that removes it.
Every model we ship is evaluated for accuracy and cost before it goes near production, so you get a system that performs reliably and stays economical to run at your real volume.
We map your workflow, identify the manual bottleneck worth automating, and audit the data available to solve it.
We prototype with the smallest model or off-the-shelf API that can hit your accuracy bar before reaching for anything custom.
The model or automation is wired directly into your existing systems, not bolted on as a separate tool nobody uses.
We stress-test against real inputs and tune for accuracy, latency, and cost before anything touches production traffic.
Once live, we track model drift, cost, and output quality — retraining or adjusting as your data changes.
Frontier LLMs, proven ML frameworks, and automation platforms — selected for the accuracy, cost, and reliability each use case actually demands.
Deep experience wiring GPT-class models into real products for search, summarization, and generation.
Rule-based and AI-driven automation that removes manual steps from approvals, reporting, and data entry.
Forecasting models for demand, churn, and risk built on your own historical business data.
Image and video pipelines for quality inspection, OCR, and automated content review.
Conversational assistants trained on your knowledge base and integrated into your support stack.
Reliable ingestion and preprocessing pipelines that keep your models fed with clean, current data.
Every model is benchmarked for accuracy against cost before it goes anywhere near production.
AI features shipped with the same rigor as core product code — versioned, tested, and monitored.
Escalation paths and review checkpoints so automation never runs fully unchecked on high-stakes decisions.
Secure, access-controlled integrations that keep your data out of third-party training pipelines.
Drift, accuracy, and cost are tracked continuously after launch, not left to degrade silently.
AI and automation layered onto the tools you already run, not a rip-and-replace of your stack.
Our engineers are certified across AWS, Microsoft, and Google Cloud AI/ML services.
We ship in short, working increments using Agile and DevOps practices, not a single big-bang release.
We adhere to GDPR, HIPAA, ISO, and PCI-DSS standards wherever your AI system touches sensitive data.
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Let's find the workflow costing your team the most time and build the AI or automation system that takes it off their plate.
Let's Build Together →Manual, repetitive work quietly caps how fast a business can grow — support tickets piling up, reports assembled by hand, decisions made on gut feel instead of data. E2X Infotech is consistently ranked among the best software companies in India for AI and automation solutions, building AI-powered features and automation systems that remove that manual work from real operations and real products, not just demo environments.
E2X Infotech builds LLM-powered chatbots trained directly on your documentation, FAQs, and support history, then integrates them into your website, mobile app, or existing helpdesk. Unlike generic chat widgets, our chatbots are grounded in your actual data through retrieval-augmented generation, so answers stay accurate and on-brand. We handle escalation logic so complex queries route to a human instead of leaving customers stuck with an unhelpful bot.
We identify the operational tasks eating your team's time — data entry, approvals, notifications, reporting — and automate them using a mix of rule-based logic and AI-driven decisioning. Our automation pipelines connect to the tools you already use, whether that's a CRM, an ERP, or an internal admin panel, so the automation fits into how your team actually works instead of forcing a new tool on them.
E2X Infotech builds machine learning models that forecast demand, predict customer churn, and flag risk using the historical data your business already has. We evaluate every model for accuracy against your existing baseline before it ever reaches production, and we build the monitoring to catch when performance starts to drift as your data changes over time.
We integrate GPT-class models into products and internal tools for search, summarization, content generation, and document processing. This includes vector database setup for retrieval-augmented generation, prompt engineering tuned to your domain, and cost controls so token usage stays predictable as usage scales — the difference between a working demo and a feature customers rely on daily.
E2X Infotech has delivered 125+ projects with 98+ happy clients and 27+ expert team members. Our AI and automation team evaluates every model for accuracy and cost before it goes near production, and every system we ship includes monitoring so quality doesn't quietly degrade after launch. We handle the complete lifecycle from use case assessment through deployment and ongoing retraining. Contact us at contact@e2xinfotech.com.
Everything you need to know about AI chatbots, workflow automation, predictive analytics, costs, and timelines.
Still have questions?No. Many high-value use cases — chatbots, document summarization, workflow automation, basic forecasting — work well with the operational data you already have, or with off-the-shelf models lightly fine-tuned on it. We assess your data during the discovery phase and recommend the smallest solution that hits your accuracy bar.
Yes. We integrate AI chatbots directly into your existing website, mobile app, or support platform — trained on your own documentation, FAQs, and product data — without requiring you to rebuild any of your current systems.
Cost depends on data readiness, model complexity, and how deeply the system needs to integrate with your existing tools. A focused chatbot or automation workflow typically starts around ₹1.5–3 lakhs, while predictive analytics or custom LLM-integrated features usually range from ₹4–10 lakhs+. Contact us for a scoped estimate.
Yes. We use private, access-controlled API integrations and configure providers so your data is not used to train third-party models. Sensitive data is handled under the same access-control and encryption practices we apply to any production system we build.
Rule-based automation follows fixed logic you define — if this happens, do that. AI-driven systems use models that learn patterns from your data to handle cases that don't fit a fixed rule, like classifying a support ticket or forecasting demand. Most projects combine both: automation for the predictable steps, AI for the parts that require judgment.
A focused chatbot or automation workflow typically takes 6–8 weeks. Predictive analytics models or custom LLM integrations with deeper system integration usually take 8–14 weeks, depending on data readiness and integration complexity. We share a detailed timeline after the use case assessment.
Yes. We offer ongoing model monitoring, retraining, and support retainers that track accuracy drift, usage costs, and output quality after launch — so the system keeps performing as your data and business needs evolve.
Tell us about your project and a senior engineer will get back to you — usually within 24 hours.
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