Task Automation Agents
Agents that execute multi-step workflows autonomously — data entry, email triage, report generation, API calls, and approvals — without human intervention at each step.
AI Agent Development Company
AI Agent Development
Stop losing hours to manual work — we build AI agents that run your repetitive tasks, 24/7.
Whether you run a clinic, real estate firm, or growing business — we build LLM-powered agents that handle your follow-ups, reports, and customer questions automatically, so your team focuses on real work.
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4.9 RatingGet Expert Help With AI Agent Development
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Sound familiar?
- Your team manually follows up with every lead — hours lost every single week.
- Invoices, reports, and summaries are still built by hand each month.
- Customer questions pile up after hours with no one available to answer.
We automate all of it.
20+
LLM & AI tool integrations shipped
200+
Projects delivered since 2020
4.9★
Client satisfaction rating
6 wks
Average time to first live agent
What We Build for You
AI agents go beyond chatbots. They reason, plan, use tools, and take actions across your systems autonomously — completing multi-step tasks that previously required human attention.
We build agents on the leading LLM platforms (OpenAI, Anthropic, Google Gemini) using frameworks like LangChain, LangGraph, and AutoGen, integrated directly with your databases, APIs, and internal tools.
Build My AI Agent
RAG & Knowledge Retrieval
Retrieval-Augmented Generation agents that search your internal documents, databases, and knowledge bases to deliver accurate, grounded answers — not hallucinations.
Multi-Agent Orchestration
Coordinated networks of specialised agents that collaborate on complex tasks — one researches, one writes, one reviews, one executes — all in a single automated pipeline.
Customer Service Agents
Intelligent support agents that handle tickets, live chat, FAQs, and escalations with LLM-powered reasoning, full CRM integration, and seamless human handoff.
Document Intelligence Agents
Agents that extract, summarise, classify, and act on structured and unstructured documents — contracts, invoices, reports, and emails — at scale and with high accuracy.
Voice AI Agents
Speech-enabled agents that understand natural language, handle inbound calls, conduct outbound outreach, and integrate with your telephony stack and CRM.
Code Generation Agents
Developer-assist agents that generate, review, refactor, and test code — integrated into your CI/CD pipeline to reduce manual engineering effort on repetitive tasks.
Data Pipeline Agents
Agents that monitor, transform, validate, and route data across your systems — replacing brittle ETL scripts with adaptive pipelines that self-correct on failure.
Where Businesses Deploy AI Agents
AI agents are transforming every department. Here are the highest-ROI use cases we build.
Customer Support
- Resolve 80%+ of tier-1 tickets automatically
- Live chat with instant knowledge-base lookup
- Escalate to human agents with full context
Sales & CRM
- Research and score inbound leads in seconds
- Draft personalised outreach emails at scale
- Auto-update CRM after every interaction
Operations & HR
- Automate procurement approvals and scheduling
- Streamline employee onboarding workflows
- Monitor SLA compliance and flag exceptions
Finance & Accounting
- Process invoices and match purchase orders
- Reconcile expenses and flag anomalies
- Generate weekly financial summaries automatically
Engineering Productivity
- Automated PR summaries and code reviews
- Generate unit tests and documentation
- Answer codebase questions via internal RAG agent
Data & Analytics
- Automated reporting and anomaly detection
- Natural-language queries over your data warehouse
- Self-healing data pipeline monitoring
Tech Stack & Partners
Built on enterprise-grade infrastructure with leading AI platforms.
How We Build AI Agents
A battle-tested 4-phase process from first conversation to live production.
Discovery & Architecture
We map your business goals to an agent topology — selecting the right LLMs, defining tool integrations, data sources, memory strategy, and security boundaries before writing a line of code.
Agent Design & Prototyping
Core agent logic, prompt engineering, tool calls, memory systems, and retrieval pipelines are built and stress-tested in a sandbox environment with real representative data.
Evaluation & Red-Teaming
We run adversarial tests, hallucination benchmarks, accuracy evaluations, and edge-case simulations. No agent ships until it meets defined quality thresholds.
Deployment & Monitoring
Production rollout with full observability — token usage, latency, failure rates, and human-feedback loops — so the agent improves over time and stays reliable.
The Value We Offer Our Clients
When you leverage our custom software development services for your business, we guarantee to provide the best solutions and cooperative partnership.
Consultative Approach
We have across industry experience working with 50+ clients over 5+ years, so we can offer a unique and consultative perspective to software engineering that you won’t find with other development and technology consulting providers.
All-in-One Provider
Our custom software development services are comprehensive, so we can address your various needs including development, software testing, end-to-end support and maintenance, cloud services, building AI solutions, and so much more.
Minimize Development Costs
Cloud-based architectures, ready-to-use frameworks and platforms, and public APIs make our custom software development services cost-effective and reliable. Our Agile methodologies remove risks related to rework and enhance the overall product.
Long Term Partnership
We do not stop after delivering and installing our custom software solutions. We go beyond that by creating a long-term relationship in the form of ongoing maintenance and support for the smooth functioning of your business.
FAQs
AI Agent Questions, Answered
A chatbot responds to questions within a single conversation turn. An AI agent can take sequences of actions — calling APIs, searching databases, writing files, running code, and making decisions — to complete a multi-step goal autonomously. Agents have memory, tools, and the ability to plan across many steps.
We work with OpenAI (GPT-4o, GPT-4 Turbo), Anthropic (Claude 3.5 Sonnet, Claude 3 Opus), Google (Gemini 1.5 Pro), and open-source models (Llama 3, Mistral) depending on your cost, latency, data-privacy, and capability requirements. We are model-agnostic and select the best fit per use case.
A focused single-purpose agent typically takes 6–9 weeks from discovery to production. A multi-agent system with complex orchestration and deep integrations takes 12–20 weeks. We provide a detailed timeline estimate during the free discovery call.
Yes. We build agents that connect to CRMs (Salesforce, HubSpot), ERPs, databases (PostgreSQL, MongoDB), cloud storage, communication platforms (Slack, Teams, email), REST and GraphQL APIs, and internal knowledge bases. If it has an API or can be accessed programmatically, we can wire an agent to it.
The right solution depends on the workflow, but AI agents can safely work alongside an existing CRM when they have defined permissions, reliable data mappings, monitoring, and a human handoff for exceptions. Common uses include lead qualification, call summaries, follow-up drafting, knowledge lookup, data-enrichment checks, and routing. We assess the CRM, connected systems, and the business outcome before recommending an implementation approach.
AI can help identify duplicate records, incomplete fields, outdated account details, inconsistent formats, and missing follow-up information. It should not make unreviewed changes to customer data: a sound implementation defines confidence thresholds, approval flows, audit logs, and rules for sensitive fields. The outcome to measure is cleaner usable data and less manual review time, not automation volume alone.
Set a baseline before launch for call volume, time spent per call, appointment or qualified-lead rate, resolution rate, abandonment rate, and the cost of the current process. After launch, compare the same metrics and subtract implementation, support, and usage costs from the value of time saved and outcomes improved. Review call quality and escalation accuracy as well as cost, because a cheaper workflow that harms customer experience is not a positive return.
We implement role-based access controls, least-privilege tool permissions, encrypted data transit and storage, audit logging of all agent actions, and PII redaction where required. For sensitive industries we can deploy agents entirely within your private cloud with no data leaving your environment.
A focused single-agent project typically starts at $25,000–$50,000 USD. Multi-agent orchestration systems with deep integrations range from $60,000–$150,000+. Ongoing LLM inference costs depend on usage volume and chosen model. We provide a fixed-scope estimate after the discovery session.
Read Our Recent Blogs
October 31, 2026
AI CRM Cleanup: How to Review Duplicate Records Before a Merge
Use AI to prepare duplicate CRM records for review, choose which values survive, check connected records and prevent the same duplicates from returning.
11 min readAI/ML
October 30, 2026
AI App Builder Checklist: Test Permissions, Recovery and Code Handover
Before launching an AI-built app, test access between accounts, saved data, failed requests, operating costs and whether another developer can run the code.
10 min readWeb Development
October 29, 2026
AI Knowledge Base Maintenance: Turn Support Tickets Into Better Articles
Use resolved support tickets to find missing, outdated and conflicting help content, then review and test each update before your AI assistant uses it.
10 min readAI/ML
Ready to take your business a decade forward, today?
We understand how important your business is to you, which is why we extensively examine your requirements while taking into account the needs of your target audience and the most recent market trends to develop the custom software solution for you.