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Automata Lab

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From Abstract To Reality

Automata Lab designs, builds, and manages agentic AI workflows and AI agents for enterprise and mid-market organizations. A remote-first automation partner, the company helps teams move from manual, repetitive operations to autonomous, data-driven workflows that run reliably at scale — turning abstract ideas into reality.

  • Min project size
    $1,000+
  • Hourly rate
    $25 - $49 / hr
  • Employees
    2 - 9
  • Locations
    Dhaka, Bangladesh
  • Year founded
    Founded 2025

1 Locations

  • Dhaka , Bangladesh

Service Lines
AI Agents
25%
BI & Big Data Consulting & SI
25%
Robotics Process Automation
25%
IT Managed Services
15%
Custom Software Development
10%

No Focus Areas have been added yet…

Industries
Business services
30%
Consumer products & services
25%
Information technology
25%
Non-profit
10%
Retail
10%
Clients
Small Business (<$10M)
50%
Midmarket ($10M - $1B)
45%
Enterprise (>$1B)
5%

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Our Story

Automata Lab is led by a founder with 20+ years in software development, data engineering, and data analytics, backed by a team applying that experience to agentic AI and RPA over the past five years. We lead with a deep understanding of each client's business process — diagnosing how work really flows before recommending any technology, so the solution fits the problem rather than the other way around.

Meet the Team

Saiyeed Mashkur Al - Hakim

Saiyeed Mashkur Al - HakimCo-Founder

20 years of experience in implementing process Improvement project, with deep knowledge in digital transformation and Business Intelligence. Have hands one experience in working and leading cross functional teams.

What Sets Us Apart

Process first, technology second

We start by understanding how your business actually works — where the friction is and what success looks like — before recommending anything. We don't force a solution onto a problem it doesn't fit. The right answer might be an AI agent, an RPA bot, a re-engineered data pipeline, or a Power BI dash

Built to last, not just to launch

Five years of hands-on agentic AI and RPA experience, applied with long-standing engineering discipline. We build automation that holds up in production and stays reliable as you scale — backed by ongoing monitoring and tuning, not a hand-off and goodbye.

20+ years of experience

Our founder brings 20+ years in software development, data engineering, and data analytics across multinationals, NGOs, and large conglomerates. Agentic AI is only as reliable as the data architecture beneath it — and that foundation is exactly what we've spent two decades building.

Tools and Technology

Power BI
Looker
Microsoft Word
Microsoft Excel
Microsoft PowerPoint
Microsoft Teams
Google Meet
Slack
Zoom
SharePoint
Google Sheets
Google Docs

Commonly Asked Questions

We work remotely with clients across North America, Australia, and the Middle East, and we structure every engagement around a clear, staged path rather than an open-ended commitment. It starts with a business analysis. Before proposing anything, we take time to understand how your business actually operates — mapping the real workflow, identifying where the friction and cost sit, and pinpointing the processes where automation will deliver genuine value. This keeps us from forcing a solution onto a problem it doesn't fit. From there we move into a Sprint — a focused, time-boxed phase where we design, build, and ship a working solution, whether that's an AI agent, an RPA bot, a data pipeline, or a Power BI dashboard. You see real output early rather than waiting on a long, opaque build. Once a solution is live we switch to either do monitoring, tuning, and scaling on behalf of clients or handover proper documentation and give training to the team. Throughout, we keep communication direct and transparent — regular check-ins, clear progress updates, and a single point of contact, so you always know where things stand. We see ourselves as a long-term automation partner, not a one-time vendor.

Because we start every engagement by understanding the business process, success is measured against the goals that matter to the client — not generic technical metrics. We agree on what success looks like during the Readiness Audit, then track against it from there. In practice, that usually comes down to a few things: Business outcomes. The metrics that drove the project in the first place — hours of manual work eliminated, faster turnaround times, lower error rates, orders or tickets handled without human intervention, or cost saved. If an automation doesn't move a number the client cares about, it isn't a success. Reliability in production. An agent or bot that works in a demo but breaks under real conditions hasn't delivered. We measure uptime, accuracy, and how consistently a solution performs once it's handling live volume — which is why ongoing monitoring is built into our Agent Ops retainer. Adoption and fit. The best signal that we understood the process correctly is that the team actually uses what we built. Solutions that fit naturally into existing workflows get adopted; ones that are forced on don't. Throughout, we keep measurement transparent — clients see the same numbers we do, so the value of the work is clear rather than assumed.

We're looking to partner with enterprise and mid-market clients across North America, Australia, and the Middle East on three kinds of work: agentic AI agents that take over real workflows; RPA for high-volume, rules-based manual tasks; and data engineering with Power BI dashboards that unify scattered data into decision-ready views. We're an especially strong fit for regulated, data-intensive industries — SaaS, healthcare, finance, e-commerce/logistics, and pharma. If a process is manual, repetitive, or data-heavy, that's the conversation we like to start.

Locations (1)

Floor 4, House 39, Road 17, Sector 13, Uttara Dhaka, Bangladesh 1230

6 - 9

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