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AI-firstAgents, automation and custom software

AI agents that do real work for your business

We design and build custom AI agents and workflow automation around the way your team already works, plus the web and mobile products that put them in people's hands.

  • A person stays in control
  • Tested on your own cases
  • Fits the tools you have
Years building software
5+
Projects delivered
50+
Clients served
20+
Engineers and specialists
10+

What we do

AI at the core, solid engineering around it

Most of our work is custom AI: agents and automation built for one business at a time. We also build the web and mobile products those systems live in.

AI

Custom AI Agents

Purpose-built agents that read context, decide the next step and act inside your systems, with a person in the loop where it matters.

  • Task agents
  • Multi-agent systems
  • Tool and API integration
  • Knowledge grounding
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AI

AI Workflow Automation

We map the manual steps in a process and automate them end to end, so work moves between your tools without copy and paste.

  • Process mapping
  • Document and data extraction
  • System-to-system integration
  • Triggered and scheduled workflows
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AI

Custom AI Solutions

Knowledge assistants, in-product copilots, custom models and analytics, designed around your data rather than a generic template.

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AI

WhatsApp AI Agents

AI agents on your WhatsApp Business number that answer customers, capture leads and hand over to your team when a person is needed.

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AI

AI Voice Agents

Voice agents that answer and make phone calls, book appointments, take messages and pass callers to your team when needed.

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AI

Document AI

Systems that read invoices, forms, KYC documents and reports in any layout, extract the data and enter it into your software.

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Product

Web Development

Web applications, SaaS platforms, dashboards and the APIs behind them, built to be fast today and easy to change tomorrow.

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Product

Mobile App Development

iOS and Android apps from a shared codebase, with the backend, release pipeline and AI features to match.

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Where agents help

Start with the work your team repeats every day

A few patterns we build, by team. Each one is adapted to your tools, rules and approval steps.

Resolve routine requests and prepare the rest

An agent reads each request, checks the customer's history and your policies, then either resolves it or hands a drafted reply to your team.

  1. 01

    Ticket arrives

    Email, chat or helpdesk

  2. 02

    Agent gathers context

    Account, orders, past conversations

  3. 03

    Searches knowledge

    Policies and help articles

  4. 04

    Drafts or resolves

    Within the limits you set

  5. 05

    Escalates when unsure

    With a summary for the human

Connects toHelpdeskCRMOrder systemKnowledge base
More customer support use cases

Showcase

Products we build

Starting points we shape to your tools, rules and team. Open one to see how it works, step by step.

See all 12 products

How we work

From first conversation to a system you can rely on

A simple, visible process. You see working software early and always know what comes next.

  1. 01

    Discover

    We sit with the people who do the work, map the process as it really runs and pick the parts where an agent or automation pays off.

  2. 02

    Design

    You get a clear scope: what the system will do, which tools it touches, where a person stays in control and how we will measure it.

  3. 03

    Build

    We ship in short iterations against real examples from your business, with a test suite that shows how the system behaves before it goes live.

  4. 04

    Launch and improve

    We roll out gradually, monitor every run and keep tuning. You get documentation, training and long-term support.

Models and tools we build with

  • Claude
  • OpenAI
  • Gemini
  • Open-source LLMs
  • LangGraph
  • MCP
  • n8n
  • Vector search
  • Python
  • Node.js
  • TypeScript
  • Next.js
  • React
  • React Native
  • Flutter
  • Go
  • PostgreSQL
  • AWS

Why Bytes Coder

AI you can put in front of customers

A demo is easy. A system your team trusts with real work takes engineering discipline. This is how we build.

A person stays in control

Approval steps, confidence thresholds and escalation paths are part of the design, so sensitive actions never happen unseen.

Measured, not assumed

Every agent ships with evaluations built from your own cases, so quality is a number you can track rather than a demo that looked good.

Fits the tools you have

We integrate with the CRM, helpdesk, ERP and databases you already run instead of asking your team to move to a new platform.

Model-agnostic

We choose the model that suits each task and budget, and keep the architecture open so you can switch as the field moves.

Consistent delivery

A clear roadmap, regular demos and one point of contact. You always know what is done, what is next and what it costs.

Long-term support

We stay on after launch to monitor, maintain and extend what we built as your processes change.

Client feedback

What it is like to work with us

Web development
Working with this team was an absolute pleasure. I was so skeptical because I never took on a project like this. The team was so professional, kind, helpful, and responsive. They were so responsive during my project build and continue to support me today with no issues. They blew my expectations out of the water and never let me down!
Arnel BisnarClient
Real-time food delivery
Clear understanding, bug-free code and on-time delivery. Great to work with Bytes Coder, recommend. 10/10
Mike LynkClient
Crypto trading platform
Potent and punctual team on blockchain, trading algorithms, NFT and the crypto exchange market. I am delighted working with them.
YongClient

FAQ

Questions we hear most

Something else on your mind? Write to bytescodertech@gmail.com.

What exactly is a custom AI agent?

It is software built around a language model that can read context, decide what to do next and take actions in your systems, such as updating a CRM record or drafting a reply. Unlike a generic chatbot, it is designed for one of your processes, connected to your tools and limited to the actions you allow.

How do we know where to start?

Most teams start with one process that is repetitive, well understood and costly in time. In discovery we look at volume, risk and how clean the inputs are, then recommend a first project small enough to launch quickly and prove value.

How long does a project take?

It depends on scope and how many systems are involved. After discovery you get a written plan with milestones and a timeline, and we deliver in short iterations so you see working software early rather than at the end.

What happens to our data?

Your data stays yours. We agree up front which data the system can access, where it is processed and which model providers are acceptable. We can work under an NDA and within the environment and access rules you set.

What if the AI gets something wrong?

We design for it. Actions that carry risk go through human approval, uncertain cases are escalated, and every run is logged so it can be reviewed. Evaluations run against real examples before launch and continue afterwards.

Do you still build regular web and mobile apps?

Yes. Web and mobile development is where we started, and most AI projects need a solid product around them: an interface, an API, a dashboard. We build both, with or without AI features.

Have a process that should run itself?

Tell us what your team spends too much time on. We will come back with a clear view of what can be automated and how we would build it.