Simplifying Business with Smart AI Solutions
AI Automation • Machine Learning • Data Intelligence • Smart Workflows
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Leverage the power of AI agents to streamline operations, enhance decision-making, and deliver smarter customer experiences. From task automation to intelligent support, we build AI-driven solutions for the future.
- ✔ Autonomous AI Agents for Business Tasks
- ✔ AI-Powered Chat & Support Bots
- ✔ Workflow & Process Automation
Our Engineering Capabilities
At Arihant Web Tech, we engineer core business infrastructure that uses large language models and machine learning pipelines to automate complex decision-making and optimize calculations.
Our Core AI Solutions
Generative AI & LLM Agents
We integrate state-of-the-art LLMs with RAG pipelines to build context-aware chat agents, semantic search tools, and automated text generators.
Cognitive Document Parsing
Using OCR and Named Entity Recognition, we build intelligent systems that parse unstructured PDFs and invoices into clean schemas in real-time.
Predictive Risk Models
We develop predictive mathematical modeling scripts to assess risks, compute pricing factors dynamically, and detect transaction anomalies.
Semantic Search Pipelines
We engineer vector search systems using embeddings to allow users to search internal corporate documents using natural conversational language.
Automated Ingestion Pipes
Wrote high-throughput ETL pipelines that clean, structure, and sanitize massive daily inputs using LLM-backed classification algorithms.
Enterprise AI Guardrails
We wrap all AI outputs in strict validation filters, preventing prompt injection and enforcing rigorous data security compliance.
Industries We Transform
Every industry has unique data structures and compliance mandates. We customize our AI agents to align with your domain's specific requirements.
Insurance & InsurTech
Automated policy underwriting, cognitive claim parsing, loss ratio forecasting, and automated email correspondence for carriers and MGAs.
Healthcare & Biotech
HIPAA-compliant document parsing, automated patient intake pipelines, clinical note summarization, and intelligent scheduling assistants.
Finance & Banking
Anomalous transaction alerts, automated credit assessment algorithms, semantic portfolio search, and compliance audit reporting.
Logistics & Supply Chain
Consignment note parsing, predictive dispatch scheduling, multi-system shipping data reconciliation, and autonomous vendor communications.
Our AI Development Process
Discovery & Strategy Roadmap
We audit your existing databases, processes, and tools to identify high-impact automation opportunities and draft a structured implementation roadmap.
Data Wrangling & Vector Alignment
We extract, clean, and chunk proprietary corporate data, converting it into high-dimensional vector embeddings stored securely in vector databases for RAG pipelines.
Model Fine-Tuning & Prompt Safety
We select optimal foundation models, construct context-rich system prompts, and fine-tune hyperparameters to target the exact business logic and compliance standards required.
Scalable Microservice & API Integration
We package the model workflows into high-speed APIs, linking them with your database, webhooks, and UI interfaces with 100% security guardrails.
Deployment & MLOps Monitoring
We deploy the models to staging and production, establishing continuous logging, monitoring dashboards, and model evaluation triggers for drift detection.
AI Technology Stack
Frequently Asked Questions
Have questions about integrating AI into your existing operations? Here are some answers.
Security is our top priority. We implement enterprise-grade guardrails including data encryption at rest and in transit, strict RBAC (Role-Based Access Control), audit logging, and local data hosting options. We build our solutions to be fully compliant with security standards like SOC 2, HIPAA, and GDPR, ensuring your proprietary data is never used to train public LLM models.
No. We specialize in non-disruptive integrations. Our AI agents and automation models are designed as modular layers that communicate with your existing databases, CRMs, ERPs, and legacy applications via secure APIs and custom webhooks. We enhance your existing stack rather than forcing a costly rebuild.
A typical implementation timeline ranges from 4 to 12 weeks. We start with a rapid Proof of Concept (PoC) in the first 2-3 weeks to validate feasibility and measure accuracy. Once approved, we build, fine-tune, and integrate the system, followed by a phased production rollout and performance monitoring.
We work with a wide range of models based on your requirements. This includes commercial APIs (OpenAI GPT-4o, Google Gemini Pro, Anthropic Claude 3.5 Sonnet) as well as open-source LLMs (Meta Llama 3, Mistral, Mixtral) that can be hosted locally or inside your private VPC for maximum privacy and cost efficiency.