We Audit Your Operations, Build AI Systems That Work, and Operate Them at Scale
Gigabit is an AI-powered product engineering firm headquartered in Dhaka. We embed dedicated teams of engineers, AI specialists, and designers into your product organization — shipping production software, deploying intelligent automation, and managing cloud infrastructure at 40–60% of US and UK costs.
From a 4-week AI readiness assessment to a 200-person-hour product build to a multi-year AI transformation — we’re the engineering team behind companies that move faster than their headcount should allow.
Seven Ways We Accelerate Your Business
AI Transformation Most Popular
Operate model. We assess your operations, identify the highest-ROI AI opportunities, build the systems, and operate them. For companies ready to make AI a competitive advantage.
AI & Automation
LLM integration, intelligent agents, RAG pipelines, workflow automation, and the MLOps that keeps AI systems reliable in production. We turn “we should add AI” into features that move metrics.
Product Engineering
MVPs in 8–12 weeks. Web and mobile applications. API platforms. Marketplace architectures. From your first commit to your millionth user — with the architecture that doesn’t require a rewrite at scale.
Cloud & DevOps
Cloud migration, Kubernetes orchestration, CI/CD pipelines, infrastructure as code, cost optimization, and the SRE practices that prevent 3 AM pages. We cut one client’s AWS bill by 40%.
Data & Analytics
Modern data stack implementation: ingestion, warehousing, transformation (dbt), and visualization. From scattered spreadsheets to self-serve dashboards that update without human intervention.
Digital Experience
UX research, UI design, design systems, conversion rate optimization, and the frontend engineering that makes interfaces feel fast. Design that converts, not just design that looks good in Figma.
Team Augmentation
Dedicated engineers embedded in your workflow — full-stack, frontend, backend, mobile, DevOps, QA, AI/ML. Assembled in 2 weeks. Shipping from Sprint 1.
The Problem We Solve
Your Roadmap Is 6 Months Behind. Your AI Strategy Is a Slide Deck. Your Best Engineers Are Doing the Wrong Work.
Growing technology companies hit the same wall: product demand outpaces delivery, senior hiring takes months, and AI initiatives stall before they reach production. Meanwhile, high-cost engineers spend too much time on work that could be handled more efficiently.
We embed dedicated engineering teams
Senior full-stack engineers, AI/ML specialists, DevOps engineers, QA, and designers — directly into your workflow. Same sprint board. Same Slack channels. Same code review standards. But based in Dhaka, operating at 40–60% of Western rates.
We own the full lifecycle
From a 2-week assessment that identifies your highest-ROI opportunities, through the engineering build, to ongoing operation and optimization.
We build and deploy AI systems
That automate operations, enhance your product, and generate measurable ROI — not AI demos that impress in a meeting and never reach production.
The Proof Is in the Production Deployments
We don’t show mockups. We show production systems processing real transactions, serving real users, and generating real ROI. 10 case studies. Every one with investment amount, timeline, and measured results.
E-Commerce
AI E-Commerce Support Agent
64% of tickets resolved autonomously. $218K annual savings. CSAT improved from 3.9 to 4.5.
SaaS
SaaS MVP — Logistics Platform
Shipped in 11 weeks for $48K. Series A raised 4 months post-launch.
Fintech
Zero-Downtime Cloud Migration
Heroku → AWS with $14M/month in live transactions. Zero downtime. 35% cost reduction.
E-Commerce
E-Commerce Ops Automation
5 automated workflows on n8n. 32 hours/week recovered. Inventory accuracy 94% → 99%.
SaaS
HR Tech Team Augmentation
3 embedded engineers. Sprint velocity increased 2.3x. $392K/year savings vs US hiring.
Healthcare
Telehealth Platform
HIPAA-compliant, FHIR-integrated. 1,200 patients enrolled in 90 days. Built for $124K.
SaaS
SaaS Data Engineering
7 sources unified in Snowflake. 56 hours/month of manual reporting eliminated. Month-end close from 5 days to 2.
Fintech
B2B Payment Platform
PCI-compliant. Double-entry ledger. $41M processed in Year 1. Zero payment errors.
Professional Services
Consulting Firm AI Transformation
5 AI systems across 3 phases. 1,200 hours/quarter recovered. $480K/year in value. 129% Year 1 ROI.
SaaS
B2B Marketplace Build
Two-sided marketplace with Stripe Connect split payments. $2.4M GMV in Year 1. Built in 14 weeks for $72K.
Deep Expertise in Five High-Growth Verticals
SaaS & Startups
Your competitors are shipping AI features. Your billing can't break at scale. We build the architecture that lets you move fast without rewriting everything at Series B.
Fintech
One compliance gap can shut you down. One payment failure can end a customer relationship. We build fintech systems that regulators approve and users actually trust.
Healthcare & Healthtech
HIPAA isn't a checkbox — it's the foundation. We build telehealth platforms, patient portals, and EHR integrations with compliance baked in from day one.
E-Commerce
More SKUs. More markets. More traffic. We build commerce infrastructure that scales revenue without scaling your headcount or your stress.
Professional Services
Your senior people are doing work software should handle. We automate document processing, reporting, and time capture so your team focuses on clients, not admin.
Innovative Solutions Hub
Dive into the realm of our versatile toolkit, where innovation meets expertise to shape transformative digital solutions.
How We Work
30-minute discovery call → technical scoping → team composition → proposal with fixed timeline and investment.
We present vetted engineer candidates. You interview and select. Access provisioned. Onboarding package prepared.
Your dedicated team joins your sprint cadence — same Jira/Linear board, same Slack channels, same standup. First PRs submitted by Day 5. Full sprint velocity by Week 4.
Sprint demos. Quality metrics. Velocity tracking. Monthly engagement reviews. You always know exactly what your investment is producing.
Add engineers when the roadmap demands it. Reduce when it doesn’t. No 12-month lock-ins. 30-day notice. Your team, your flexibility.
See Where AI Can Help — Before You Spend a Dollar
AI ROI Calculator
Input your business metrics — team size, support volume, manual hours — and get an instant projection of what AI automation would save your company annually.
AI Readiness Assessment
15 questions across 5 dimensions. Get a personalized score, radar chart, and a recommended starting point for your AI journey — in under 5 minutes.
Offshore Cost Calculator
Compare the real cost of US, nearshore, and offshore engineering teams — including management overhead, tooling, and onboarding. Customize by role, seniority, and duration.
Why Companies Choose Gigabit
Audit → Build → Operate
We don’t hand you a strategy deck and walk away. We assess the opportunity, engineer the solution, and operate it in production. One partner across the entire lifecycle. No handoffs. No gaps.
40–60% Cost Advantage
Senior engineers based in Dhaka, not San Francisco. Same code quality, same communication standards, same sprint discipline — at a fraction of the cost. The savings fund additional features, not overhead.
AI-Native Engineering
Every engineer on our team works with AI-assisted development tools daily. We’ve built RAG pipelines, multi-agent systems, LLM integrations, and AI automation for companies across 4 continents. AI isn’t an add-on for us — it’s how we think about every problem.
Speed to Sprint 1
Team assembled in 2 weeks. First PRs submitted by Day 5. Full sprint velocity by Week 4. We’ve done this enough times that the onboarding is a system, not an experiment.
What Our Clients Say
New landing pages cut our cost per lead and increased demo requests. The team moved fast and tested smart.
Our website redesign improved page speed and conversions. The CMS templates made updates simple for our marketing team.
They localized landing pages for three markets and conversions rose sharply where we tested copy and payment options.
Great company and we love their work!
Let’s Talk About What You’re Building
No pitch decks. No NDAs required. Just a 30-minute conversation about your product, your operations, and whether a Gigabit team is the right move.
Whether you need a $5K AI assessment, a $50K product build, or a $500K AI transformation — we’ll give you an honest assessment of what’s possible, what it costs, and how long it takes.
Frequently Asked Questions
What does Gigabit do?
Gigabit is an AI Transformation Partner and product engineering firm headquartered in Dhaka, Bangladesh. We help companies deploy AI automation, build software products, migrate to the cloud, implement modern data stacks, and scale engineering teams — at 40–60% of US and UK costs.
What makes Gigabit different from a typical offshore agency?
Three things. First, we specialize in AI — most offshore firms build websites and mobile apps but can’t engineer RAG pipelines, multi-agent systems, or LLM integrations. Second, we operate the Audit → Build → Operate model — we don’t just build and disappear, we assess the opportunity, engineer the solution, and operate it in production. Third, we publish our work — 10 detailed case studies with investment amounts, timelines, and measured results.
How much does it cost?
Dedicated engineers: $3,000–$7,500/person/month depending on seniority and specialization. AI assessments: $5,000–$60,000 depending on scope. Product builds (MVP): $20,000–$150,000. AI transformation programs: $50,000–$250,000+. We provide fixed estimates after a discovery call — no surprises.
How fast can you start?
What industries do you specialize in?
SaaS & Startups, Fintech, Healthcare, E-Commerce, and Professional Services. We’ve built PCI-compliant payment platforms, HIPAA-compliant telehealth systems, multi-tenant SaaS products, and AI automation for companies ranging from seed-stage startups to $50M+ enterprises.
Do you offer a trial period?
Can you work in our time zone?
Our Dhaka team (UTC+6) overlaps with European business hours and adjusts schedules for 2–3 hours of overlap with US Eastern time. All communication is async-first with synchronous meetings during overlap windows. Our communication framework is documented in our Distributed Team Communication Guide.
