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AI Agent Development Company

AI Agent Development

Build autonomous AI agents that reason, plan, and execute complex tasks across your business workflows.

From single-purpose task agents to multi-agent orchestration systems, we design, build, and deploy LLM-powered agents integrated with your data, APIs, and tools — delivering real automation at scale.

Trusted By 10+ Happy Clients including these Fortune companies

Nicole Benisti
Barkstage
Blackship Studios
FG Group
GP Nina
Hinotes
Mirageoscience
Yoobux
Perco Design
Point Zero

20+

LLM & AI tool integrations shipped

200+

Projects delivered since 2014

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
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01

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.

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02

RAG & Knowledge Retrieval

Retrieval-Augmented Generation agents that search your internal documents, databases, and knowledge bases to deliver accurate, grounded answers — not hallucinations.

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03

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.

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04

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.

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05

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.

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06

Voice AI Agents

Speech-enabled agents that understand natural language, handle inbound calls, conduct outbound outreach, and integrate with your telephony stack and CRM.

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07

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.

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08

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.

Weeks 1–2

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.

Weeks 3–6

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.

Weeks 7–8

Evaluation & Red-Teaming

We run adversarial tests, hallucination benchmarks, accuracy evaluations, and edge-case simulations. No agent ships until it meets defined quality thresholds.

Week 9+

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 10+ clients over 20 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.

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.

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.

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