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Agentic AI Development
Company 

Agentic AI to automate workflows and scale operations 

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Trusted by 1500+ happy clients, including some top fortune 500 companies

The Agentic AI Revolution

What Makes Agentic AI Different?

Agentic AI represents a fundamental shift from reactive AI tools to autonomous intelligent systems that can perceive their environment, make decisions, and take actions to achieve specific goals without constant human supervision. 

Agentic AI solutions operate independently as systems plan multi-step workflows, adapt to changing conditions, learn from outcomes, and execute complex business processes with minimal human intervention. 

As an agentic AI development company, Sphinx Solutions specialises in building custom AI agents that don't just assist, they autonomously drive business outcomes. 

Designed for Autonomous Execution 

AI agents that don’t just assist but plan, decide, and execute multi-step tasks independently, aligned with your business logic.

Orchestrated Multi-Agent Systems

Collaborative AI agents working together across workflows, tools, and data to handle complex processes end-to-end. 

Context-Aware & Continuously Learning

Agents that retain context, adapt in real time, and improve decision-making with every interaction and data input.

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What We Build

Agentic AI Development Services

We build AI agents that don’t just assist, they act. Sphinx Solutions creates autonomous systems that integrate with your business to automate workflows and drive real results.

01 Custom AI Agent Development
02 Multi-Agent Systems & Orchestration
03 AI Copilots & Assistants
04 Autonomous Workflow Automation
05 LLM Integration & Fine-Tuning
06 Human-in-the-Loop AI Systems
Custom AI Agent Development
Custom AI Agent Development

We design and build tailored AI agents for your specific business requirements, from conversational assistants to complex decision-making systems that handle intricate workflows autonomously.

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Multi-Agent Systems & Orchestration
Multi-Agent Systems & Orchestration

Deploy coordinated networks of specialised AI agents that collaborate, share context, and execute parallel tasks. Our multi-agent systems development ensures seamless orchestration across complex business processes.

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AI Copilots & Assistants
AI Copilots & Assistants

Build intelligent copilots that augment human expertise, offering real-time insights, automating repetitive tasks, and accelerating decision-making across sales, support, engineering, and operations.

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Autonomous Workflow Automation
Autonomous Workflow Automation

Replace manual processes with intelligent automation that adapts to changing business conditions. Our AI workflow automation solutions handle everything from data processing to customer interactions without human oversight.

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LLM Integration & Fine-Tuning
LLM Integration & Fine-Tuning

Leverage cutting-edge large language models from OpenAI, Anthropic, and open-source alternatives. We customise and fine-tune LLM-powered agents to align perfectly with your domain expertise and compliance requirements.

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Human-in-the-Loop AI Systems
Human-in-the-Loop AI Systems

Design hybrid systems where AI agents handle routine decisions while escalating critical situations to human experts. This approach balances automation efficiency with human judgment where it matters most.

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What We Solve 

Agentic AI Solutions

blockchain-process
AI agents that evaluate options, weigh trade-offs, and make intelligent decisions aligned with your business objectives.
Plan and execute complex workflows spanning multiple systems, APIs, and decision points without human intervention.
Maintain conversation history, learn from interactions, and build contextual understanding across sessions.
Seamlessly connect with your existing tech stack, CRMs, databases, communication tools, and business applications.
Continuously improve performance based on feedback loops, outcomes, and changing business conditions.
Built on cloud-native infrastructure that handles enterprise-scale workloads with reliability and performance.

Proof of Work

AI Development Projects That Delivered
Measurable Results

NO STRESS IMPRESS 

AI-Powered Student Productivity & Mental Wellness Platform

  
Problem

Students struggled to balance academics, deadlines, and mental well-being. Existing tools were too generic or lacked personalisation, causing low engagement, poor productivity, and ineffective stress management outcomes.

  
Challenge

TBuild an AI-driven platform that manages tasks and schedules while understanding user behaviour, stress patterns, and productivity gaps, ensuring a simple, engaging, and personalised experience for students.

  
Solution

Developed an AI-powered mobile platform with task planning, mood tracking and behavioural insights, integrating smart recommendations and analytics to enhance productivity, engagement, and consistency.

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KORAS.AI 

  
Problem

JEmail communication lacked simple encryption. Existing solutions required plugins, technical setups, or complex workflows, making secure communication inaccessible, inconvenient, and difficult for everyday users globally.

  
Challenge

Design an AI-powered encryption system working directly within existing email platforms, eliminating the need for installations, integrations, or training while maintaining simplicity, usability, and strong security standards.

  
Solution

Developed an AI-based encryption platform enabling users to secure emails by adding brackets in the subject line, automating encryption, decryption, and key management without disrupting existing workflows seamlessly.

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PROMARKETER.AI

  
Problem

Marketers struggled with managing campaigns across platforms, analysing performance data, and optimising ads in real time. Manual processes led to inefficiencies and missed growth opportunities.

  
Challenge

To create a centralised AI platform that automates campaign management, delivers actionable insights, and continuously optimises marketing performance across multiple channels.

  
Solution

An AI-powered marketing automation system with campaign tracking, audience segmentation and real-time optimisation. Integrated performance dashboards and smart recommendations to maximise ROI.

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← →

Every solution we build is AI-ready by architecture, so your business grows smarter. We engineer software around the way your business, processes, integrations, and growth targets. We bring years of delivery precision to every project across the world. 

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How We Build It

Agentic AI Technology Stack

Every technology in our agentic AI stack is chosen for performance, scalability, and reliability, from foundation models and orchestration frameworks to vector storage and cloud infrastructure.

GPT-4 / GPT-4o Claude (Anthropic) Llama 2 / Llama 3 Mistral AI Gemini
LangChain CrewAI AutoGen Llama Index Semantic Kernel
AWS (SageMaker, Lambda) Azure OpenAI Service Google Cloud (Vertex AI) Kubernetes Docker
Pinecone Weaviate Chroma Qdrant PostgreSQL + pgvector
REST APIs GraphQL Webhooks gRPC WebSockets

How We Work

Custom Agentic AI Development Process

Our Agentic AI lifecycle is designed to build autonomous, decision-making systems with clarity, speed, and zero guesswork. From discovery to deployment, every step ensures your AI agents are aligned with real business outcomes.

STEP 1
Discovery & Requirements Analysis

What We Do: We analyse your business workflows, identify automation opportunities, and define where agentic AI can deliver the most impact. Through stakeholder interviews, process mapping, and feasibility studies, we establish clear goals and technical direction.

What You Get:
  • • Defined AI agent use cases and business objectives.
  • • Workflow mapping and automation opportunities.
  • • Feasibility assessment and risk analysis.
  • • Project scope, timeline, and cost estimation.
STEP 2
Architecture Design & Planning

What We Do: Our architects design the foundation of your agentic system, selecting the right models, frameworks, and integrations. We define agent behaviours, decision logic, data flows, and system scalability.

What You Get:
  • • Complete system architecture blueprint.
  • • Agent capability and decision-making framework.
  • • Integration and data flow design.
  • • Security, compliance, and scalability plan.
STEP 3
Prototype Development & Training

What We Do: We build a functional prototype within weeks to demonstrate core agent capabilities and workflows. This allows early interaction, feedback, and validation before scaling further.

What You Get:
  • • Working AI agent prototype.
  • • Early-stage workflow validation.
  • • Feedback-driven iteration cycles.
  • • Reduced development risk and faster alignment.
STEP 4
Integration & Customisation

What We Do: We integrate AI agents into your existing systems, including CRMs, ERPs, databases, APIs, and communication tools. Agents are trained on your data and customised to match your business logic.

What You Get:
  • • Seamless integration with your tech stack
  • • Domain-trained and customised AI agents
  • • API and third-party system connectivity
  • • Human-in-the-loop workflows for critical tasks
STEP 5
Quality Assurance & Security Hardening

What We Do: We rigorously test your AI agents for performance, reliability, and security. This includes functional testing, edge case validation, and security audits to ensure enterprise readiness.

What You Get:
  • • Performance and accuracy validation reports
  • • Edge case and stress testing results
  • • Security audit and compliance checks
  • • Production-ready, reliable AI systems
STEP 6
Deployment, Training & Ongoing Support

What We Do: We deploy your agentic AI systems with monitoring and logging in place. Your team is trained to manage and optimise agents, while we provide continuous support and improvements.

What You Get:
  • • Production-ready AI deployment
  • • Monitoring, logging, and alert systems
  • • Team training and documentation
  • • Ongoing support, updates, and optimisation
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Build Intelligent Systems That Work for You 24*7 

Deploy AI agents that think, act, and scale with your business.

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How We Engage

Engagement Models That Fit Your Agentic AI Project

Every Agentic AI project is different; some need full-scale ownership, others need speed, flexibility, or expert augmentation. We offer engagement models designed to match your goals, timelines, and level of control. 

Dedicated AI Team

A fully committed team working exclusively on your Agentic AI project. Ideal for long-term builds and complex multi-agent systems.

Project-Based Model

End-to-end development with a fixed scope, timeline, and cost. Best for clearly defined Agentic AI use cases.

Staff Augmentation

Extend your in-house team with specialised AI experts. Perfect for faster execution without full hiring.

Consulting & Strategy

Get expert guidance to plan and validate your Agentic AI roadmap. Ideal for early-stage exploration and decision-making.

Not sure which model fits your AI project stage? 

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Comparison

Agentic AI Vs Traditional AI

Aspect Agentic AI Traditional AI
Core Intelligence & Functioning Agentic AI operates as an autonomous, goal-driven system that can plan, reason, and execute multi-step tasks independently. It doesn't just respond, it decides what needs to be done next and adapts its actions based on outcomes. Traditional AI is primarily reactive and task-specific. It follows predefined models, rules, or training data to generate outputs, but does not independently plan or adapt workflows beyond its programmed scope.
Decision-Making & Autonomy Capable of autonomous decision-making with minimal human input. It evaluates context, breaks down complex objectives, and chooses optimal action paths dynamically. Requires human-defined inputs, prompts, or rules to make decisions. It cannot independently manage end-to-end processes or adjust decisions beyond its training limitations.
Workflow Execution & Complexity Handling Handles multi-step, interconnected workflows by orchestrating multiple agents or tools, making it suitable for complex business processes like automation, research, and operations. Typically executes single-step or narrowly defined tasks such as classification, prediction, or simple automation without cross-task coordination.
Learning, Adaptability & Context Awareness Continuously adapts using contextual memory and environmental feedback, improving performance across tasks over time and adjusting strategies dynamically. Learns during training phases but remains static during deployment. It lacks real-time adaptability unless retrained or fine-tuned.
Tool & System Integration Seamlessly integrates with APIs, databases, external tools, and even other AI agents to complete goals, functioning like a connected intelligent ecosystem. Integration is possible but usually limited to predefined pipelines or fixed integrations, requiring manual configuration and updates.
Error Handling & Self-Correction Can self-evaluate outcomes, detect errors in workflows, and retry or adjust strategies autonomously to improve success rates. Error handling is mostly external, requiring human monitoring, debugging, or rule-based fallback systems.
Scalability & Enterprise Use Cases Highly scalable for enterprise-grade automation such as autonomous operations, AI-driven decision systems, intelligent assistants, and multi-domain workflows. Best suited for isolated applications like chatbots, recommendation systems, forecasting models, and task-specific automation.
Operational Intelligence Level Represents a shift toward “AI agents that act like digital workers,” capable of thinking, planning, and executing like semi-independent systems. Functions as a “tool-based intelligence system” that enhances human decision-making but does not operate independently.
Sources: OpenAI – Agent-Based & Tool-Using AI Systems, Stanford University – AI Index & Autonomous Systems Research

Experts Insights

Agentic AI is changing how companies automate work. Earlier, systems followed fixed steps and could only do what they were programmed for. Now, AI agents can think a bit more; they can plan tasks, adjust when things change, and handle multiple steps together. Automation is becoming more independent, where systems can make decisions, adapt in real time, and work toward better results on their own instead of just reacting.

Anand Mahajan

Anand Mahajan

CEO, Sphinx Solutions

Read more
Who we build for

Agentic AI Development Across Industries

Healthcare Technology

We build agentic AI systems for clinical decision support, patient triage, medical data processing, and diagnostics, designed to automate workflows while ensuring compliance and data security in modern healthcare environments.

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Banking & Financial Services 

We develop AI agents for fraud detection, risk analysis, automated trading, compliance monitoring, and customer support, enabling faster decisions and secure, data-driven financial operations.

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eCommerce & Retail 

We create intelligent AI agents for personalised shopping, inventory management, dynamic pricing, and customer engagement, helping brands automate operations and enhance user experiences at scale.

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Logistics & Supply Chain 

We deliver agentic AI solutions for demand forecasting, route optimisation, inventory planning, and real-time tracking, streamlining complex supply chain operations with autonomous decision-making.

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HR & Recruitment

We build AI agents for talent sourcing, resume screening, interview scheduling, and employee engagement, enabling faster hiring and smarter workforce management.

Manufacturing 

We develop AI-driven agents for predictive maintenance, production planning, quality control, and process automation, improving efficiency and reducing operational downtime.

Media & Entertainment

We create AI agents for content creation, recommendation engines, audience analytics, and automated workflows, helping media businesses scale creativity and engagement.

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Education & EdTech 

We design AI agents for personalised learning, automated assessments, student support, and content generation, enhancing learning experiences through intelligent automation.

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  • Healthcare
  • Banking & Financial Services 
  • eCommerce & Retail 
  • Logistics & Supply Chain 
  • HR & Recruitment
  • Manufacturing 
  • Media & Entertainment 
  • Education & EdTech 

Why Choose Us

Client-Oriented. On-Time Delivery

15+ years of experience

Sphinx has completed 15 successful years in the industry by helping businesses with technology and digital transformation, including AI-powered solutions in major industry verticals. 

15+ Industry Experts

We have a dedicated and reliable team of AI engineers, ML scientists, data engineers, and MLOps specialists across every role in the AI development lifecycle.

1500+ Solutions Delivered

We have successfully delivered 1500+ solutions to our clients through our results-driven approach, many of them being recurring clients who expand their AI capabilities with us.

200+ In-House Resources

We have a dedicated in-house team of professionals who are experienced and skilled across AI development, software engineering, QA, DevOps, and cloud infrastructure.

750+ Happy Clients

We are trusted by 750+ clients for providing the best-in-class innovative AI solutions at competitive rates with the delivery accountability that enterprise clients demand.

50+ Million Users Love Our Work

Our client-centric approach and high-calibre AI engineering, leveraging the latest models and frameworks, have made us a trusted partner for businesses building AI.

Partner with Experts Who Turn AI into Business Value See How AI Can Transform Your Operations.

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Reviews & Ratings

Trusted & Top-Rated by Our Clients

Top-Rated on Clutch

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5.0 17 reviews

Top-Rated on GoodFirms

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4.9 21 reviews

faq

Frequently Asked Questions

Agentic AI tackles the things that quietly slow a business down: manual workflows, slow decisions, systems that don't talk to each other, and repetitive busywork. The difference from ordinary automation is that it can reason about a task, work across several tools, and carry a process through without someone watching every step.

RPA follows fixed rules to handle repetitive, structured jobs like data entry or filling in forms. Agentic AI goes further: it understands the goal, makes decisions along the way, and copes with workflows that change as they run. Put simply, RPA does the task you scripted, while Agentic AI runs the whole process and adapts.

Yes. It connects to APIs, CRMs, databases, cloud platforms, and other enterprise tools. Because it's built to work across several systems at once, it fits companies that already have a lot of digital infrastructure in place. Instead of replacing what you run, it sits on top and coordinates between your existing tools.

Often, yes. Chatbots and automation tools tend to handle one task or one conversation at a time. Agentic AI takes on a full workflow, makes decisions, and coordinates several steps across different systems on its own. It's less a single feature and more something that manages the whole job from start to finish.

We build Agentic AI systems that cut operational costs and take repetitive work off your team. They make decisions in real time, scale as your workflows grow, and connect to the systems you already run. We start by finding where your team loses the most time, then build around those points first.

It depends on complexity. A simple workflow can be up and running in a few weeks, while an enterprise-grade multi-agent system can take several months. Either way, the work covers planning, integration, testing, and deployment. We scope the timeline with you up front so there are no surprises partway through.