AI Agents
Agents that reason, not just automate.
We design and deploy production-grade AI agents — systems powered by large language models that reason over your data, call your tools, and act autonomously.
- Custom LLM Agent Development
- Retrieval-Augmented Generation (RAG)
- Tool Calling & API Integration
- Agent Memory & Context Systems
- Multi-Agent Orchestration
- Guardrails & Safety Controls
- Human-in-the-Loop Review
- Agent Observability & Evals
Our Engineered Process
We build agents the way modern AI products are built — grounded in your data, wired to your tools, and measured against real outcomes.
Goal & Data Mapping
Defining what the agent must achieve and grounding it in your live data sources.
Agent Architecture
Choosing models, planning memory, tools, and orchestration around the task.
Build & Wire Tools
Developing the agent, connecting function calling and APIs into production systems.
Evaluate & Deploy
Running evals, hardening guardrails, and shipping with full observability.
Performance Stats
Frequently Asked Questions
Straight answers about working with AI Agents.
Bangladesh's strongest AI partners combine three things: engineers who build production systems (not just demos), grounding that keeps answers factual, and clear measurement of results. FORKBYTE is a Dhaka-based software firm that designs and deploys production-grade AI agents — conversational agents, knowledge agents with RAG, autonomous task agents, and multi-agent systems — for clients locally and globally. We build agents that reason over your own data and call your own tools, with guardrails and full observability.
Companies with repetitive, knowledge-heavy work benefit first: customer support and sales teams answering the same questions, operations drowning in manual data entry, and growing businesses where documentation lives across scattered tools. An agent handles the predictable 80% — instant answers grounded in your data, automated workflows — while your team focuses on judgment calls. If your team spends hours copying data or answering the same questions, an AI agent is likely a strong return on investment.
Costs scale with complexity: a customer-facing chatbot grounded in your business knowledge typically runs around BDT 250,000–600,000, while autonomous agents that connect multiple tools and systems start from about BDT 600,000 upward. The bigger factor is long-term value — an agent that genuinely deflects support volume or automates manual work pays for itself quickly. At FORKBYTE we scope the concrete task first and quote against real outcomes, not model hype. Ask us through our contact section for a project-fit estimate.
Yes. That is precisely where custom agents earn their keep. We wire agents into your existing backend, CRM, inventory, or spreadsheets via secure APIs, ground answers in your live data with retrieval-augmented generation, and give agents the tools to act — placing orders, updating records, escalating to humans. You keep your existing stack; the agent becomes part of it.
Three layers: grounding the agent in your own data instead of letting it answer from memory, adding guardrails that block out-of-scope or sensitive topics, and keeping a human in the loop for high-stakes actions. We also run evaluation suites before launch and monitor real usage after, so you can trace exactly why an agent answered the way it did.
A grounded knowledge agent or support chatbot typically ships in 4–8 weeks. Agents tied into multiple live systems, with automation and approval flows, generally take 8–12 weeks including evaluation and hardening. We move in stages, so you see a working version early rather than waiting through a long build.