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TechIntellectWave

People Behind the Numbers

We started with spreadsheets and messy forecasts back in 2019. Six years later, we're still figuring out better ways to help businesses see what's coming. Our team brings together finance backgrounds, tech experience, and a few lessons learned the hard way.

2019

Starting with a Problem

Three of us met at a fintech meetup in Bangkok. We'd all worked with small businesses that struggled with cash flow forecasting. Most tools were either too complex or too basic. One evening over street food near Silom, we sketched out what became our first prototype.

The early version was rough. Really rough. But a few local businesses agreed to test it, and their feedback shaped everything that came next.

2021

Learning from Mistakes

We launched our first proper version in March 2021. Within two months, we realized we'd built features nobody asked for while missing the ones they actually needed. A retail client showed us their workaround for our budgeting module, and it was more elegant than our official solution.

That summer, we spent three months rebuilding from the ground up based on real usage patterns rather than what we thought people wanted.

2023

Finding Our Direction

By 2023, we had about 200 active clients across Thailand. The feedback pattern was clear: people valued accuracy over complexity. They wanted forecasting that connected to their actual business cycles, not generic financial planning.

We brought on Malee, who'd spent years in corporate finance, and Sombat, who'd built planning systems for manufacturing companies. Their perspectives helped us build tools that felt practical rather than theoretical.

2025

Where We Are Now

Today, our team has grown to twelve people. We're working on quarterly forecasting models that adjust to seasonal patterns specific to Thai businesses. There's also a budgeting module launching in August 2025 that handles multi-currency scenarios better than our current version.

We still meet clients face-to-face when possible. Video calls work, but sitting down with someone and walking through their actual numbers teaches us more than any analytics dashboard could.

How We Changed Our Own Process

The Old Way

In 2020, our internal planning was a mess. We used five different spreadsheets, updated them manually, and constantly had version conflicts. When clients asked about forecasting accuracy, we couldn't point to our own numbers as examples.

Turning Point

After missing our Q3 2021 revenue target by 30%, we realized we needed to use our own tools properly. Not the simplified demo version, but the full system with all the complexity we were asking clients to handle. It was humbling to see how clunky some workflows actually were.

What Changed

Now we run monthly forecast reviews using the same platform we offer clients. When something doesn't work well for us, we fix it before the next update. Our Q4 2024 planning had a 94% accuracy rate, not because we got better at predicting, but because the tools helped us spot problems earlier and adjust faster.

Team collaboration session reviewing financial forecasting models on multiple screens

What We've Learned About Forecasting

These aren't universal rules. They're patterns we've noticed working with businesses across different sectors in Thailand over the past few years.

01

Start with Three Months

Annual forecasts sound impressive, but most businesses can't predict that far accurately. Three-month rolling forecasts let you adjust as conditions change. We update ours every two weeks based on actual performance.

  • Review weekly revenue patterns
  • Track seasonal fluctuations
  • Compare against previous quarters
  • Adjust assumptions monthly
02

Build Multiple Scenarios

One forecast number is just a guess. We typically run three versions: optimistic, realistic, and conservative. When a restaurant client did this before opening a second location, the conservative scenario saved them from overextending during a slow quarter.

  • Best case with ideal conditions
  • Expected case with normal patterns
  • Worst case with known risks
  • Review which scenario played out
03

Connect Budget to Reality

Budgets fail when they're disconnected from actual operations. A retail client was budgeting for steady monthly expenses, but their costs spiked during new product launches. Once we mapped budget categories to their business cycle, planning got more accurate.

  • Link expenses to activities
  • Identify cost patterns
  • Plan for irregular expenses
  • Update based on actuals

Meet Someone on the Team

We're not listing everyone's credentials here. But here's one story that explains how we think about this work.

Chanida reviewing financial data and forecasting reports at desk

Chanida Rattanakorn

Financial Planning Lead

Chanida spent eight years doing financial analysis for a mid-size manufacturing company before joining us in 2022. She got tired of building planning models that executives would ignore. "They'd ask for detailed forecasts, then make decisions based on gut feeling anyway," she told us during her interview.

What makes her work different here is the focus on practical planning. She helped redesign our budgeting module so it handles the messy reality of business operations, not just clean accounting categories. When a food distributor client couldn't figure out why their margins kept shrinking, Chanida spent a day at their warehouse tracking actual costs versus budgeted amounts. Turned out their delivery routing was adding 15% to fuel expenses.

She's currently developing a forecasting training program launching in October 2025. The goal is helping finance teams explain their numbers to non-finance colleagues without everyone falling asleep.

Financial Modeling Budget Planning Scenario Analysis Cost Management

Why We Work This Way

Most financial software tries to be everything to everyone. We decided early on to focus specifically on forecasting and budgeting for small to medium businesses. That narrower focus means we can build tools that actually fit how these companies operate.

We also stay relatively small on purpose. Twelve people means we can still have conversations without seven layers of approval. When a client points out a problem on Monday, we can usually push a fix by Friday. That wouldn't work if we were trying to scale to hundreds of employees.

Our Bangkok office is near Lat Phrao, easy to reach by MRT. We meet clients there when they prefer in-person discussions, though video calls work fine too. The important part is actually understanding their planning challenges rather than just demoing features.

Office workspace with financial planning tools and collaborative environment