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Uncover the transformative potential of digital and mobile solutions for your industry
Collaborative workshops that translate your business KPIs into agent objectives, data requirements, and a phased rollout plan with clear ROI milestones.
Bespoke autonomous agents that handle domain-specific tasks, everything from triaging support tickets to reconciling trades while fitting seamlessly into your stack.
A resilient network of specialized agents that collaborate, delegate, and recover from failure, so critical workflows never stall.
Intelligent planners and executors that break big goals into parallel subtasks, then recombine results in minutes instead of days.
Natural language assistants that pull real-time data from your systems, resolve issues, and escalate only when human expertise is needed.
A continuous evaluation and safety layer that keeps agents accurate, compliant, and cost-efficient. No hallucinations, no surprises.
Organizations faced significant hurdles in managing employee referral programs effectively. Manual tracking of referrals was time-consuming and inefficient, with HR teams spending countless hours entering data into backend systems. Companies struggled with low employee participation rates, limited visibility into referral program performance, and difficulty automating bonus payments and eligibility checks.
We developed ERIN, an employee referral software platform that revolutionizes how organizations leverage their workforce for talent acquisition. The solution features a cross-platform experience accessible via web browsers and native mobile apps. The platform has transformed into a smart, agentic AI-driven referral engine that proactively assists employees and HR teams with personalized, automated hiring workflows.
The existing mobile application suffered from complicated navigation, information overload, poor user experience, decreased engagement, confusing interface layers, and declining user adoption of their heating control system.
Built agentic AI–enabled mobile apps using Swift and Java with Python APIs, deployed on AWS. Used RabbitMQ and Redis for real-time orchestration. Integrated with Google Home, Apple HomeKit, Alexa, and IFTTT. Applied agentic AI and human-centric UX to streamline controls, personalize temperature profiles, automate schedules, and optimize room-level heating management across devices and environments efficiently.
Unchecked Fitness aimed to redefine how users approach health and training through intelligent, adaptive experiences. The challenge was to create a personalized fitness platform powered by AI that can learn user behavior, dynamically optimize workouts and nutrition, and drive measurable fitness outcomes.
We built an agentic AI-powered fitness platform that personalizes nutrition and workouts, offers frictionless navigation, effortless browsing, and real-time progress tracking. By integrating autonomous AI agents through GPT APIs, the app delivers conversational guidance and adaptive recommendations, providing intelligent, data-driven insights for a more engaging, personalized fitness journey that motivates users through continuous AI-driven support.
Field technicians struggled to quickly access critical building equipment data. The system needed to handle complex, unstructured information from multiple IoT sensors, understand varied user queries, and deliver instant insights while maintaining strict security protocols based on user roles and permissions.
We built an intelligent system that combines Generative AI and NLP to transform how technicians interact with building data. Our agentic AI framework processes IoT sensor streams in real-time, and LLM-powered interfaces let users understand maintenance needs and diagnostics.
The challenges included avoiding information overload, filtering positive news using accurate sentiment analysis, curating age-appropriate content for Junior Mode, and delivering personalized news experiences while maintaining cross-platform consistency and real-time processing.
We developed an AI-powered news platform using advanced NLP algorithms for intelligent article summarization and sentiment analysis. Our Gen AI solution integrated LLM-based content curation, machine learning models for positive news filtering, and natural language processing for age-appropriate selection, built on Flutter and Node.js for seamless real-time performance.
Agentic AI is rapidly expanding, with a current valuation of over $5.2B and an expected market size of $196.6 by 2034, signaling an enormous global opportunity.
With a 43.8% growth rate, agentic AI is on track for 33% enterprise adoption by 2028 and for 11.6 million active U.S. users to emerge soon.
Companies using agentic AI report a 10X productivity boost and 5X greater efficiency, making it a game-changing technology for operational speed, quality, and automation.
Surveys show over 70% of global executives believe agentic AI will replace legacy rule-based systems and processes across industries within the next three years.
Smart city implementations of agentic AI have reduced traffic congestion by 20% and energy consumption by 30%, delivering strong returns through automation and insights.
We help you transform complex business processes into autonomous intelligent systems through strategic Agentic AI that operates independently and adapts continuously.
We have specialized in-house agentic AI engineers, multi-agent system architects, and autonomous workflow experts who understand your enterprise challenges and develop intelligent agent-powered solutions that autonomously execute complex business processes.
Our agentic AI architectures feature enterprise-grade scalability, seamlessly orchestrating multiple autonomous agents handling concurrent tasks and millions of interactions daily. These agents maintain consistent performance and intelligent decision-making as your operations expand.
We implement advanced agent coordination protocols, reasoning frameworks, and continuous learning mechanisms to ensure your agentic AI systems deliver autonomous decision-making and adaptive responses to dynamic business scenarios.
Our agile, agentic AI methodology features iterative agent training, goal-oriented planning systems, and continuous performance optimization, delivering autonomous agents with adaptive reasoning and self-improving workflows aligned with your strategic goals.
At TechAhead, we build mobile apps that are not only feature-rich and scalable —
they’re built with compliance, security, and regulatory integrity baked in.
The latest forecasts, data, and strategic insights you need to outpace the competition by 2030.
Real feedback, authentic stories- explore how TechAhead’s solutions have driven
measurable results and lasting partnerships.
Award by Clutch for the Top Generative AI Company
Award by The Manifest for the Most Reviewed Machine Learning Company in Los Angeles
Award by The Manifest for the Most Reviewed Artificial Intelligence Company in Los Angeles
Award by The Manifest for the Most Reviewed Artificial Intelligence Company in India
Award by Clutch for Top App Developers
Award by Clutch for the Top Health & Wellness App Developers
Award by Clutch for the Top Cross-Platform App Developers
Award by Clutch for the Top Consumer App Developers
Honoree for App Features: Experimental & Innovation
Awarded as a Great Place to Work for our thriving culture
Recognised by Red Herring among the Top 100 Companies
Award by Clutch for Top Enterprise App Developers
Award by Clutch for Top React Native Developers
Award by Clutch for Top Flutter Developers
Award by Manifest for the Most Number of Client Reviews
Awarded by Greater Conejo Valley Chamber of Commerce
Agentic AI differs from regular AI because it can learn, adapt, and make autonomous decisions, while regular AI only follows predefined instructions.
TechAhead builds sales, support, HR, finance, campaign, and workflow automation agents that integrate with existing systems to boost productivity.
Yes. Agentic AI agents integrate with CRMs, ERPs, helpdesks, and enterprise platforms using APIs and connectors for unified operations.
Simple AI agents can be built in a few weeks, while complex enterprise agents may take 4–6 weeks for full development and testing.
The cost of developing Agentic AI varies by scope. Pilot projects may cost $50k–$100k, while enterprise-scale solutions can cost $200k or more.
Agentic AI agents integrate with Salesforce, Zendesk, HubSpot, Teams, Slack, Google Workspace, Workday, SAP, and more.
To get started, share your goals via TechAhead’s contact form. Our consultants evaluate needs and provide a tailored proposal.
Agentic AI agents plan, reason, and execute multistep tasks autonomously, unlike RPA bots or chatbots, which follow rigid flows.
TechAhead uses LangChain, Microsoft Autogen, and CrewAI frameworks, depending on latency, flexibility, and orchestration needs.
TechAhead ensures security with encryption, RBAC, audit logging, and compliance with SOC 2, HIPAA, GDPR, and ISO 27001.
Agentic AI timelines: 6–8 weeks for pilot agents, 12–16 weeks for enterprise multi-agent systems.
TechAhead monitors agent performance using metrics such as task completion, accuracy, latency, and cost, with dashboards and test suites.
Agentic AI agents integrate with ERP, CRM, or ITSM systems via APIs, webhooks, SDKs, OAuth2 accounts, and event streams.
Key cost drivers include model tokens, vector storage, compute, and integration. Optimization techniques reduce costs by up to 55%.
TechAhead prevents hallucinations with RAG, guardrails, approval workflows, and AI layers that flag low-confidence outputs.
Yes. Agentic AI agents can run fully on-premise using Llama 3, local embeddings, and offline vector databases for secure air-gapped deployments.
TechAhead scales Agentic AI via Kubernetes and Ray Serve, auto-scaling agents in seconds and replicating indices to handle 10× workloads.
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