We don't pivot to AI.We started here.
Scriptguru was founded in 2023 to solve a specific problem: SMBs in the US and Europe wanted production AI integrated into their existing systems, but the market was full of strategy consultancies, chatbot agencies, and Upwork freelancers - and almost nobody competent in the middle. We're trying to be that middle.
Prakhar Agarwal
Founder photo (replace before launch)
I started building software at 14. By the time I was studying for my engineering degree, I'd already shipped seven years of freelance work through DesignEra. By the time I joined Infosys, I was 21, and I spent the next several years working on enterprise data systems - the kind of work that taught me what production-grade actually means.
The most defining stretch was at CRIF Germany, where I worked on a big-data migration for a top-10 vehicle manufacturer. Hundreds of millions of records, multiple data centers, regulatory constraints, real consequences if anything broke. That is the kind of context where "we will fix it later" stops being acceptable. You learn to design for the failure modes you will actually encounter, not the ones that make for nice slide decks.
I founded Scriptguru in 2023 because I saw a market opportunity that was not being served well. SMBs wanted real software - not WordPress sites, not Upwork freelancers, but also not the $500K enterprise consulting engagements that big agencies were trying to sell them. AI was just starting to become viable for SMB economics, and almost nobody was bridging the gap between "real engineering" and "real for small companies."
That is what we built Scriptguru to be. Three years in, we have shipped production AI for clients across the US and Europe, built two of our own products (Bodhya for AI assessments, Geteasily for Indian SMB commerce), and learned a lot about what AI integration actually requires versus what is marketed. The marketing keeps getting louder; the actual engineering keeps getting harder. We are betting that depth wins over time.
Building software since 14
Data systems at scale, regulated environments
AI assessments, Indian SMB commerce - shipped
The gap between consultancies and freelancers
The market for software services is broken at the SMB level. Here is what an SMB owner actually faces when they need to build something:
Enterprise consultancies
Cost: $200K-$2M minimum
Sales cycle: 3-6 months
Quality: high, but slow
Too expensive for SMBs. Scoped for Fortune 500.
Upwork / freelancer marketplaces
Cost: $1K-$15K
Sales cycle: 3 days
Quality: highly variable, mostly poor
Cheap, but you are rolling the dice on quality, communication, and follow-through.
Local agencies (Western Europe / US)
Cost: $30K-$200K
Sales cycle: 2-4 weeks
Quality: usually decent, sometimes great
Quality work, but the economics often do not fit SMB budgets.
Scriptguru sits at the intersection of these three. We deliver enterprise-grade engineering at SMB-friendly economics with the responsiveness of a freelancer. The reason we can do this is geographic - we are based in Dehradun, India, with a lean team, founder-led technical oversight, and US/EU client communication standards. The math works because we built the company specifically to serve this market, not as a side project of a body shop or a low-cost adjunct to a Western agency.
Production AI, not strategy decks
We are an engineering shop, not a consultancy. Here is what that means in practice.
We build, we do not just advise
Strategy is included with every project, but it is not the deliverable. The deliverable is working software in your environment. If you want a deck without code, there are agencies that specialize in that - we are not them.
We integrate, we do not replace
Our default approach is to add AI to the systems you already run - your CRM, your support tools, your existing SaaS platform. We do not recommend rebuilding your stack to be "AI-first" unless there is a real engineering reason. The AI lives where the work happens, not in a separate app nobody opens.
We design for failure
AI is probabilistic. It will get things wrong. We architect every integration assuming the model will fail occasionally - fallback handling, confidence thresholds, cost controls, monitoring, rollback paths. This is the work most agencies skip; it is why their projects fail in production.
We hand off cleanly
Every project ends with documented code in your GitHub, deployment in your cloud, and a runbook your team can follow. You can take it in-house, hand it to another agency, or keep us on retainer. We do not engineer dependence.
What we believe about AI integration
We have spent two years shipping AI for SMBs. These are the patterns we keep seeing - and the things we keep telling clients, even when it is uncomfortable.
1. Most "AI agencies" are selling chatbot wrappers.
The market is flooded with agencies that learned about LLMs last year and are selling thin wrappers around the OpenAI API as "digital transformation." Real AI integration looks different. It connects to your existing systems, handles failure modes, and ships measurable ROI. If an agency's pitch is mostly about how impressive their chatbot is, that is a tell.
2. Production AI is mostly engineering, not AI.
The hard part of an AI integration is not the AI itself - that is a few API calls. The hard part is everything around it: clean data pipelines, integration with existing systems, error handling, cost controls, monitoring, and the dozens of edge cases that show up in production. Agencies that do not have engineering depth fail here, regardless of how good their AI knowledge is.
3. Smaller is faster than bigger.
Most successful AI integrations we've shipped started as a 2-3 week prototype focused on one workflow. The clients who tried to AI-transform their entire business in one project usually ran out of money before shipping anything. Pick one workflow, ship it, learn from it, then expand.
4. AI doesn't replace your team. It makes your team faster.
The "AI will replace humans" framing is mostly hype. The realistic outcome for SMBs is that AI handles the repetitive work - classification, extraction, drafting, triage - while humans handle the judgment, relationships, and exceptions. A small team with good AI integration outperforms a bigger team without it.
5. The window is open right now.
Two years ago, AI integration cost $200K+ and was scoped for enterprises. Today it costs $30-80K and pays back in 6-12 months for SMBs. In another two years, every SMB competitor will have AI in their workflow and the advantage will be table stakes. The economics work right now in a way they did not before and will not again.
Founder-led delivery, by design
Most agencies hide who is actually working on your project behind account managers and "senior engineers" you never speak to again after the contract is signed. We do the opposite.
I (Prakhar) am directly involved in every project we ship. I do the architecture review, the code review, and the production deployment decisions. My team handles the implementation under my technical oversight. Every commit gets reviewed. Every architectural choice gets discussed. Every production push gets my sign-off.
This is not the model that scales to 50-person agencies, and we are not trying to become one. We are trying to be the agency where the founder still cares deeply about what ships - because at our size, that is possible. As we grow, we will add senior engineers who can take on the same oversight role I have today, but we will not let the team get bigger than the work we can supervise to a high standard.
If you are hiring an agency where the person who sold the project disappears after kickoff, that is not us. If you want a small team where the founder is in the trenches with you, that is us.
We are based in Dehradun, India, and our team works hours that overlap the US East Coast (8am-12pm EST) and the full European business day. Urgent issues get same-day responses, often within a couple of hours.
- Founded 2023
- Based in Dehradun, India
- Small team; founder in the loop on architecture, review, and production
- Working hours overlap US East Coast and full EU business day
- Founder-led delivery on every project
SMBs in the US and Europe
Our clients are SMBs (typically $1M-$50M revenue) based in the US, the UK, Germany, the Netherlands, and across the EU. We have worked with founders, operations leads, and CTOs at companies in EdTech, e-commerce, B2B services, professional services, and SaaS.
What ties our clients together is not industry - it is a pattern. They are past the "scrappy startup" phase but not at the "enterprise budget" stage. They have real workflows that are genuinely bottlenecked. They want production-grade work but cannot justify $200K consulting engagements. They are the businesses that AI integration is built to help, but the market has not been built to help them yet.
That is the gap we are filling.
Ready to talk?
A 30-minute call gives us enough to recommend the right approach and send you a written quote within 48 hours. No pitch, no pressure.