Devot AI

23/10/2026

We're hiring: Digital Marketing Intern (Remote, Full-time, 6 months)

For recent graduates (2024-2026) with a degree in Marketing, BBA/MBA (Marketing) or Mass Communication. Creative and campaign role, not telecalling or field sales.

👉 Comment "APPLY" and we'll DM you the details
📩 Or email your CV and portfolio to [email protected]

11/09/2026

We're Hiring! Data Science Intern at Devot AI

Duration: 6 Months · Full-Time · Remote

You'll work on production ML systems, APIs, dashboards, and client-facing features - end-to-end. You'll also get exposure to client communication and business operations.

What we're looking for:
- Strong Python & ML fundamentals
- Ownership mindset - take tasks end-to-end
- Ready to contribute across the stack
- Good communication & startup energy

Comment APPLY below to get started!

Follow us for more openings:ai

10/09/2026

We're Hiring! Full Stack Data Scientist at Devot AI

Experience: 0.5 to 1 year
Work Mode: Remote | Full-Time

What you'll do:
- Build end-to-end data pipelines & deploy production-ready ML models
- Work on cutting-edge AI/ML projects across frontend & backend
- Use Python, React, Node.js, databases, APIs & cloud tools

What we're looking for:
- Strong foundation in Python & ML
- Familiarity with SQL, Git & frontend basics
- Data science & ML expertise to power intelligent features
- Ship fast, own fully, communicate clearly

Comment APPLY below to get started!

27/05/2026

2 numbers that show how big AI has actually become:

$900,000,000,000 - Anthropic's valuation this week. Larger than Sweden's entire economy. Revenue went from $4B to $50B+ in 12 months.

$1,750,000,000,000 - SpaceX + xAI's IPO valuation. Going public June 12. Largest IPO in history. Close to Australia's entire GDP.

3 years ago: "Will AI matter?"
Today: Single AI companies are worth more than nations.

Which surprised you most — 1 or 2? 👇

26/05/2026

When countries start restricting their AI researchers from leaving - that tells you everything about how important AI has become. What do you think? 👇

23/04/2026

Q2 AI buying patterns are shifting, and most vendors haven't caught up.

what we're hearing from buyers this quarter:

1. they're slower. the 2024 "let's just try it" mood is gone. budget holders now want 3-4 vendor comparisons, a clear ROI story, and proof you've shipped before.

2. the scope is smaller but sharper. nobody's asking for "an AI strategy" anymore. they want one workflow automated, one pipeline cleaned, one agent that actually works in production.

3. the decision-maker has changed. ops leads and COOs are running the RFPs, not CTOs. they care about uptime and integration, not model benchmarks.

none of this is bad for teams that ship real work. it's a cleaner market than the hype cycle. but if your pitch still leads with "cutting-edge AI" you're going to lose to someone leading with "this exact workflow, running in 6 weeks, for this price."

got a specific workflow you want built this quarter? we scope the real answer in a 30-min call: tidycal.com/devot

what's the most concrete AI ask you've gotten from a buyer this year?

🚀 Book Your Growth Call — Turn Your SaaS or AI Idea Into a Real, Revenue-Ready ProductIf you’re ready to stop guessing and start building, this call gives you the clarity and direction you need to move fast and build the right way — without confusion or wasted effort.In This Call, You’ll ...

21/04/2026

Most businesses don't have an AI problem. They have an integration problem.

A $30/month AI tool sitting on top of 14 disconnected systems isn't automation. It's another dashboard your ops team has to babysit.

Real automation looks different. Your CRM actually talks to your billing system without a human exporting CSVs. Your support inbox auto-triages, assigns, and drafts replies before anyone picks up the thread. Your Monday reports run themselves at 9am, not after someone spends 4 hours in spreadsheets.

That's what we build at Devot AI. Custom AI pipelines, n8n and Make workflows, MCP servers, and full-stack tools that plug into the systems you already run.

One e-commerce client cut their Monday reporting from 6 hours to 18 minutes. Another stopped paying three VAs to re-key data between Shopify and their 3PL.

What's the one process eating your team alive every week?

If you want to see what fixing it could look like, book a 20-minute call: tidycal.com/devot

🚀 Book Your Growth Call — Turn Your SaaS or AI Idea Into a Real, Revenue-Ready ProductIf you’re ready to stop guessing and start building, this call gives you the clarity and direction you need to move fast and build the right way — without confusion or wasted effort.In This Call, You’ll ...

17/04/2026

Spending 15+ hours a week manually pulling reports across tools?

Most ops teams we work with start in the same place: a patchwork of spreadsheets, cron jobs that break, and a "Monday report ritual" nobody enjoys.

Here's what shipped for a client this week:

• Custom MCP server pulling from 5 data sources on a schedule
• Normalization layer so downstream reports actually match
• Slack ping to the sales team when the final report lands in their shared drive
• 9 days from kickoff to go-live

Result: 18 hours per week of manual work eliminated, and 4 more workflows the team is now queueing up to automate.

The pattern works whether you're reconciling finance data, compiling BD reports, or routing customer data across tools. What's different for each business is what lives inside the orchestration layer, not the approach itself.

If your team is drowning in manual reporting and you want to see what a clean setup looks like, book a 30-min call and we'll walk you through how we architect these: tidycal.com/devot

🚀 Book Your Growth Call — Turn Your SaaS or AI Idea Into a Real, Revenue-Ready ProductIf you’re ready to stop guessing and start building, this call gives you the clarity and direction you need to move fast and build the right way — without confusion or wasted effort.In This Call, You’ll ...

16/04/2026

A logistics company came to us with a problem they thought was about speed.

Their dispatch team was spending 3 hours every morning manually matching delivery orders to available drivers. They wanted it faster.

But the real issue was visibility. They had order data in one system, driver availability in another, and route preferences in a spreadsheet someone emailed around every Monday.

We built an automated matching pipeline that pulls from all three sources, applies their routing rules, and generates the day's assignments by 6am. No manual work.

Result: 3 hours of morning coordination eliminated. But the bigger win was accuracy. Manual matching had a 12% error rate (wrong driver, wrong route, missed time windows). The automated system runs at under 2%.

Their ops manager told us the team used to dread Monday mornings. Now they start the week with assignments already done and fewer customer complaints by Friday.

If your team is still manually coordinating between disconnected tools every day, that's a solvable problem.

Book a free 20-min call to see what's possible: tidycal.com/devot

What's the coordination bottleneck in your operations?