---
title: "10 Best AI Software Development Companies in 2026"
description: "Most AI software development companies pitch the model. Few show you the discovery work. Here are 10 that publish real numbers, verified."
entityName: "EnactOn Technologies Private Limited"
pageType: "Article"
url: "https://www.enacton.com/blog/ai-software-development-companies/"
rawMdUrl: "https://www.enacton.com/blog/ai-software-development-companies.md"
lastUpdated: "2026-09-28"
---

# 10 Best AI Software Development Companies in 2026

## Additional Documentation & Details

**TL;DR:** The 10 best AI software development companies to hire in 2026 are EnactOn Technologies, Quytech, DataRoot Labs, Uvik Software, Simform, DianApps, Designli, Cheesecake Labs, Intuz, and Intellectsoft. Their published minimum project sizes run from $5,000 to $50,000, and their hourly rates run from under $25 to $99.

## Introduction

Most businesses evaluating AI software development companies are not actually choosing a technology. They are choosing a judgment call: which repetitive process is worth automating, which decision can safely be handed to a model, and which one still needs a human in the loop. Get that call wrong and the AI project either does nothing useful or does something wrong at scale, quietly, for months.

This list is for founders, product leads, and operations heads who have a specific process in mind, not a vague mandate to "add AI." Whether that means a recommendation engine, an LLM integration, a computer vision pipeline, or a fully custom model trained on proprietary data, the company you hire will shape both what gets built and what gets correctly left out. This applies whether you are adding one AI feature or [rethinking your product as AI-first](https://www.enacton.com/blog/ai-first-business/) from the ground up.

Below are ten AI software development companies with verified track records, real pricing data, and a stated specialty rather than a generic AI page. Each profile lists what the company is actually built for, a fact table, and a plain "best for" line, so you can match a vendor to your project instead of to a sales call. Several of the companies here also cover [AI agent development](https://www.enacton.com/ai-agent-development/) specifically, worth knowing if the process you want automated needs to take actions, not just generate answers.

## How We Built This List

Five criteria decided who made it and what got published:

- **Verified reviews over marketing copy.** Every rating, review count, minimum project size, and hourly rate below comes from the company's own public profile, not a self-reported figure on a services page.

- **Real AI delivery, not a generic AI landing page.** Each company needed a documented track record in model development, LLM integration, or AI-driven automation, not a single "AI" line item bolted onto a generic developer.

- **A stated specialty.** Companies that could articulate what kind of AI work they are actually best at ranked above companies offering an undifferentiated service list.

- **Published pricing.** Firms that publish a real minimum project size and hourly rate ranked above firms that only offer a custom quote.

- **Geographic and budget spread.** The list intentionally includes firms from the US, Poland, and India, and floors ranging from $5,000 to $50,000, so founders at different budget levels have real options. The AI market reached an estimated $539.5 billion in 2026, according to [Grand View Research](https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-market), and that growth is exactly why the quality bar between vendors varies so widely.

The order below reflects fit for a business with a specific AI use case and a defined budget, not a ranking by company size or revenue. That said, this list leans toward the best AI development companies verified through Clutch rather than firms that only market themselves well.

## What Makes an AI Software Development Company Different From a Generic Dev Shop?

Adding "AI development" to a services page is easy. Actually building AI that survives contact with real data and real users is a different discipline, and it shows up in four places.

**Data readiness.** A generic developer starts writing code. One of the top AI development companies starts by asking what data exists, how clean it is, and what it is actually allowed to be used for. Skipping this step is the single most common reason AI pilots never reach production.

**Model versus integration.** Custom AI development, meaning a model trained from scratch on your own data, is rare below roughly $25,000. Most projects at that budget are not a custom-trained model. They are a well-built integration of an existing foundation model, fine-tuned or prompted against your data. A company that pitches a bespoke model at that budget either does not understand the economics or is not being straight with you.

**Evaluation, not just output.** A capable vendor builds a way to measure whether the model is actually right, not just whether it produces an answer. Without an evaluation framework, accuracy claims are guesses.

**What happens after launch.** Models drift. Data changes. A company worth hiring has a plan for monitoring and retraining before you ask, not after the first embarrassing wrong answer in production.

If a vendor's answers to these four questions are vague, they are a software company that added "AI" to their homepage. If you are still defining which process is worth automating first, this breakdown of [how AI is improving business efficiency](https://www.enacton.com/blog/ai-automation-workflow/) covers the same readiness questions this list uses.

## Top 10 AI Software Development Companies: Quick Comparison

| Company | Rating (reviews) | Min. Project | Hourly Rate | HQ | Best For |
| --- | --- | --- | --- | --- | --- |
| EnactOn Technologies | 4.8 (12+) | $5,000+ | $25–$49/hr | Surat, India | Discovery-led AI builds on a founder-involved budget |
| Quytech | 4.8 (148) | $25,000+ | <$25/hr | Gurugram, India | Largest verified review base on this list |
| DataRoot Labs | 4.9 (23) | $10,000+ | $25–$49/hr | Kyiv, Ukraine | Forbes-recognized, AI-exclusive since 2016 |
| Uvik Software | 5.0 (35) | $25,000+ | $50–$99/hr | Tallinn, Estonia | 100% client retention, AI-native Python team |
| Simform | 4.8 (86) | $25,000+ | $25–$49/hr | Orlando, USA | Cloud-native AI infrastructure at scale |
| DianApps | 4.8 (84) | $10,000+ | $25–$49/hr | Gurugram, India | AI-powered mobile and app-first products |
| Designli | 5.0 (83) | $10,000+ | $50–$99/hr | Greenville, USA | AI features inside a new MVP build |
| Cheesecake Labs | 4.9 (64) | $50,000+ | $50–$99/hr | San Francisco, USA | Full-stack AI platform engineering |
| Intuz | 4.8 (53) | $10,000+ | $50–$99/hr | San Ramon, USA | AI integration into existing marketplaces |
| Intellectsoft | 4.9 (46) | $50,000+ | $50–$99/hr | New York, USA | Enterprise architecture discipline, real scale |

### 1\. EnactOn Technologies

| Verified fact | Value |
| --- | --- |
| HQ | Surat, Gujarat, India |
| Founded | 2013 |
| Clutch rating | 4.8/5 |
| Min. project size | $5,000+ |
| Hourly rate | $25–$49/hr |
| Team | 80+ in-house engineers, designers, and QA |
| Track record | 500+ projects, 350+ clients, 65+ countries, 95% client retention |

EnactOn is AI-first by design: AI gets added where it removes repetitive work, improves a decision, or personalizes an experience, never as a checkbox. Every [AI development](https://www.enacton.com/ai-development/) engagement runs through a discovery phase first, mapping what data actually exists, how clean it is, and what accuracy bar the use case realistically needs, before a single model gets selected.

Every AI feature ships through Intent-Driven Engineering: a senior architect defines the specification and evaluation criteria first, AI accelerates implementation underneath that spec, and every AI-generated contribution passes human review before merging. A four-gate release pipeline, covering function, security, performance, and deployment, checks every release before it reaches a customer, so nothing ships on the strength of a convincing demo alone.

The company also runs its own products in production, so the running-cost question most vendor pitches avoid, what a model actually costs per query once it's live, gets answered from EnactOn's own infrastructure bill, not a hypothetical.

- **AI added only where it earns its place:** features get built to remove repetitive work, improve a decision, or personalize an experience, not as a checkbox.

- **Data readiness mapped before model selection:** discovery covers what data exists, how clean it is, and what accuracy bar the use case needs.

- **Every AI contribution human-reviewed:** senior architects write the spec first, AI accelerates the build, and a four-gate pipeline checks every release.

- **Running costs answered from real infrastructure:** the company runs its own AI-powered products in production, so cost-per-query questions get real answers.

- **Clients come back:** 500+ projects delivered, 350+ clients, 65+ countries, and 90% client retention.

**Best for:** founders and operations leads with a $5,000 to $50,000 budget who want data readiness and evaluation methodology scoped before any code gets written, from a team that runs its own AI in production.

### 2\. Quytech

| Verified fact | Value |
| --- | --- |
| HQ | Gurugram, India |
| Rating | 4.8/5 across 148 reviews |
| Min. project size | $25,000+ |
| Hourly rate | Under $25/hr |
| Team | 250–999 |

Quytech carries the largest verified review base of any company on this list, with 148 reviews on Clutch spanning full-cycle web, mobile, and AI development work. Its AI practice covers custom model development, generative AI, and AI agent integration, sold alongside its broader mobile and web capability rather than as a standalone offering.

That breadth is the trade-off: Quytech is a strong fit when an AI feature needs to sit inside a larger mobile or web product being built at the same time, less so if AI is the entire scope of the project and you want a narrowly specialized partner.

- **Largest review base on this list:** 148 verified Clutch reviews at a 4.8 average.

- **Full-cycle capability:** AI work is delivered alongside mobile and web development under one team, reducing handoffs.

- **Lowest published rate among the top five by review count:** under $25/hr, though the $25,000 floor means total project cost still adds up.

- **Broad industry range:** verified project history spans financial services, healthcare, media, and gaming.

**Best for:** businesses that need an AI feature built inside a larger mobile or web application, with one team owning both.

### 3\. DataRoot Labs

| Verified fact | Value |
| --- | --- |
| HQ | Kyiv, Ukraine |
| Founded | 2016 |
| Rating | 4.9/5 across 23 reviews |
| Min. project size | $10,000+ |
| Hourly rate | $25–$49/hr |
| Team | 10–49 |

DataRoot Labs has worked exclusively in AI since 2016, named among the Top 10 AI Consulting Companies by Forbes and repeatedly recognized as a Clutch Top AI Developer. Its client roster includes OLX, IBM, Databand, and Moxie, spanning AI copilots for legal, healthcare, and fintech risk systems.

The company runs senior-only teams with no junior staff and no staff augmentation model, and every engagement includes full IP transfer to the client with no shared ownership or vendor lock-in.

- **AI-exclusive since founding:** the company has never done general software work, only applied AI R&D and production systems.

- **Forbes-recognized:** named among the Top 10 AI Consulting Companies, alongside repeated Clutch Top AI Developer recognition.

- **Senior-only delivery:** no junior staff, no staff augmentation, every engagement led by someone who has shipped production AI before.

- **Clean IP transfer:** all intellectual property belongs fully to the client at handover.

**Best for:** companies wanting an AI-exclusive specialist with a Forbes-recognized track record, rather than a generalist firm with an AI service line.

### 4\. Uvik Software

| Verified fact | Value |
| --- | --- |
| HQ | Tallinn, Estonia |
| Rating | 5.0/5 across 35 reviews |
| Min. project size | $25,000+ |
| Hourly rate | $50–$99/hr |
| Team | 50–249 |

Uvik Software is an AI-native Python and data engineering company built specifically for senior staff augmentation and embedded product teams, with delivery teams across Ukraine, Poland, Romania, and Bulgaria and a commercial office in the UK. It reports 100% client retention since founding and delivery practices aligned to ISO 27001 and SOC 2.

Documented outcomes include cutting deployment cycles from two weeks to three days while maintaining 99.98% API uptime, and building ML systems tied to a 15-25% e-commerce sales increase for a client.

- **AI-native Python specialization:** the company is built around production LLM integration, AI agents, and RAG systems specifically.

- **100% client retention since founding**, an unusually strong loyalty signal.

- **ISO 27001 and SOC 2-aligned delivery**, formal practices not every boutique carries.

- **Documented performance outcomes**, including a 99.98% API uptime figure tied to a specific deployment overhaul.

**Best for:** engineering leaders wanting senior Python and AI staff embedded into their team without the cost and delay of in-house hiring.

### 5\. Simform

| Verified fact | Value |
| --- | --- |
| HQ | Orlando, USA |
| Rating | 4.8/5 across 86 reviews |
| Min. project size | $25,000+ |
| Hourly rate | $25–$49/hr |
| Team | 1,000–9,999 |

Simform is the largest company on this list by team size, and it pairs that scale with an unusually low hourly rate for its size. Its practice centers on cloud-native architecture, DevOps, and system integration, with AI development sold as part of that infrastructure-first capability rather than as a standalone AI consultancy.

That combination, four-figure headcount at a $25-49/hr rate, is unusual, and it suits AI projects where the hard part is scaling infrastructure and integrations rather than the model itself.

- **Largest team on this list:** 1,000-9,999 staff means capacity is rarely the constraint.

- **Cloud-native depth:** AI work is built on the same infrastructure discipline the company is known for.

- **Low rate at scale:** $25-49/hr is unusual for a company this size.

- **15 industries of verified experience**, with particular strength in education and hospitality.

**Best for:** companies with $25,000 or more whose main AI risk is infrastructure and integration at scale rather than model definition.

### 6\. DianApps

| Verified fact | Value |
| --- | --- |
| HQ | Gurugram, India |
| Rating | 4.8/5 across 84 reviews |
| Min. project size | $10,000+ |
| Hourly rate | $25–$49/hr |
| Team | 50–249 |

DianApps specializes in AI-powered mobile applications, and its reviews repeatedly highlight flexibility on scope changes without renegotiating the whole contract, a meaningful advantage on AI projects where the right feature set is rarely obvious on day one.

Its $10,000 floor puts it within reach of a first AI feature rather than a full platform, making it one of the more accessible options on this list for a company testing whether an AI feature is worth building out further.

- **Mobile-first AI specialty:** strong fit when the AI feature lives primarily inside an app.

- **Accommodating to scope changes:** reviews note flexibility as AI requirements get refined mid-project.

- **Accessible floor:** $10,000 minimum makes it realistic for a first AI feature, not just a full platform.

- **15 industries served**, with particular depth in education and healthtech.

**Best for:** app-first businesses adding an AI feature to an existing or new mobile product on a $10,000 to $50,000 budget.

### 7\. Designli

| Verified fact | Value |
| --- | --- |
| HQ | Greenville, USA |
| Rating | 5.0/5 across 83 reviews |
| Min. project size | $10,000+ |
| Hourly rate | $50–$99/hr |
| Team | 50–249 |

Designli is primarily an MVP and product design studio, with AI development as one of several services layered on top of its core UX/UI and custom software work. Its 83 reviews are unusually consistent, a perfect 5.0 average, with clients repeatedly citing the team's ability to turn an ambiguous idea into a working, well-designed product.

For a founder whose AI feature is one part of a larger new product rather than a standalone AI project, Designli's design-led approach can be a better fit than a pure AI vendor.

- **Perfect review average:** 5.0/5 across 83 reviews, unusually consistent for this sample size.

- **Design-led delivery:** AI features get built alongside UX/UI rather than bolted onto a functional-but-unpolished product.

- **MVP specialty:** strong fit when the AI feature is part of a brand-new product, not an addition to an existing one.

- **$200,000-plus average project cost** on recent reviews signals a team used to larger, multi-feature builds.

**Best for:** founders building a new product from scratch where AI is one feature among several, and design quality matters as much as the model.

### 8\. Cheesecake Labs

| Verified fact | Value |
| --- | --- |
| HQ | San Francisco, USA |
| Rating | 4.9/5 across 64 reviews |
| Min. project size | $50,000+ |
| Hourly rate | $50–$99/hr |
| Team | 50–249 |

Cheesecake Labs runs a dedicated AI platform practice alongside its full-stack development work, and its reviews consistently cite speed and adaptability under evolving project requirements as a strength, a useful trait on AI projects where the right approach often changes after the first round of testing.

The $50,000 floor puts it at the higher end of this list, positioned for companies building a genuine AI platform rather than a single feature.

- **Dedicated AI platform practice**, not AI as a line item on a generic services page.

- **Adaptability under changing scope**, repeatedly cited across reviews as evolving AI requirements shift mid-project.

- **15 industries of verified experience**, with particular strength in financial services and healthcare.

- **US-based with Brazil delivery capacity**, giving buyers a blended time-zone option.

**Best for:** companies with $50,000 or more building a dedicated AI platform rather than a single AI feature.

### 9\. Intuz

| Verified fact | Value |
| --- | --- |
| HQ | San Ramon, USA |
| Rating | 4.8/5 across 53 reviews |
| Min. project size | $10,000+ |
| Hourly rate | $50–$99/hr |
| Team | 50–249 |

Intuz focuses on AI integration into existing products, particularly marketplace and platform businesses. A recent review cited an 80% reduction in manual workflow and a 95% decrease in fraudulent postings after an AI integration, the kind of concrete before-and-after figure worth asking any vendor for directly.

Its $10,000 floor and marketplace focus make it a fit for businesses adding AI to something that already exists and already has users, rather than building an AI product from zero.

- **Integration specialty:** strong fit for adding AI to an existing platform rather than building one from scratch.

- **Marketplace and platform experience**, including fraud detection and workflow automation.

- **Accessible floor:** $10,000 minimum for a first integration project.

- **14 industries served**, with particular depth in healthcare and retail.

**Best for:** businesses with an existing marketplace or platform adding AI-driven automation or fraud detection rather than building new from scratch.

### 10\. Intellectsoft

| Verified fact | Value |
| --- | --- |
| HQ | New York, USA |
| Founded | 2007 |
| Rating | 4.9/5 across 46 reviews |
| Min. project size | $50,000+ |
| Hourly rate | $50–$99/hr |
| Team | 250–999 |

Intellectsoft is a custom software and AI engineering company with offices across the US, UK, Norway, Ukraine, and Latin America, serving mid-market and enterprise clients including Ernst & Young, Harley-Davidson, and the London Stock Exchange. Reviews consistently praise proactive communication and architecture discipline at every project stage.

At 250-999 people, Intellectsoft carries more engineering capacity than most of the boutique studios on this list, useful when an AI feature needs to be built alongside a larger enterprise system rather than as a standalone integration.

- **Enterprise client roster**, including Ernst & Young, Harley-Davidson, and the London Stock Exchange.

- **Architecture-first discipline**, cited repeatedly across reviews for organized, transparent delivery.

- **Global office network**, spanning the US, UK, Norway, Ukraine, and LatAm.

- **Near-perfect rating at meaningful scale:** 4.9/5 across 46 reviews.

**Best for:** enterprise AI programs with $50,000 or more that need architecture discipline and global delivery capacity behind the build.

## Which One Fits Your Situation?

- **You have an idea and no product built yet.** You need scoping and design as much as engineering. EnactOn and Designli both lead with discovery or design before code; Designli if the AI feature is one part of a bigger new product, EnactOn if you want the AI use case itself questioned first.

- **Your budget is under $10,000.** EnactOn opens at $5,000, the lowest floor on this list, with the AI use case questioned and scoped before any code gets written.

- **You have $10,000 to $25,000.** EnactOn, DianApps, Designli, and Intuz are all realistic options at this tier. Six of the ten are not. If the AI feature is going into a brand-new product rather than an existing one, it is worth budgeting against [the cost to build an MVP](https://www.enacton.com/blog/cost-to-build-an-mvp/) as a whole, not just the AI piece.

- **You have $50,000 or more.** Intellectsoft and Cheesecake Labs both open up at this tier, built for larger, longer-running AI programs.

- **You want an AI-exclusive specialist, not a generalist with an AI service line.** DataRoot Labs has worked only in AI since 2016 and carries Forbes recognition for it.

- **You need Python-native engineering for AI and data work specifically.** Uvik Software is built around production LLM integration, AI agents, and RAG systems, with 100% client retention since founding.

- **You want enterprise-scale architecture discipline.** Intellectsoft's 250-999 person team and enterprise client roster, including Ernst & Young and Harley-Davidson, suit a program that needs to sit inside a larger system.

- **You're adding AI to something that already exists.** Intuz specializes in AI integration into live marketplaces and platforms; Simform brings the cloud-native depth to scale that integration once it works.

- **AI is one feature inside a bigger mobile build.** DianApps and Quytech both fold AI into broader mobile and web development under one team.

## How Do I Choose the Right AI Development Company?

Compare vendors on three things: whether they check data readiness before scoping, whether they have a real evaluation methodology instead of just accuracy claims, and whether they can quote a running cost per month, not just a build price. A vendor worth hiring pushes back on a vague "add AI to X" brief before agreeing to it, and can point to production AI they've shipped and are still supporting.

**"What data do we actually have, and is it usable?"** A capable vendor asks this before scoping anything. One who skips straight to model selection has not done the part of the job that determines whether the project works.

**"How will we know if the model is wrong?"** Accuracy claims without an evaluation framework are marketing, not engineering. Ask what the evaluation set looks like and who reviews the failures.

**"What does this cost to run once it's live?"** A model that works in a demo but costs more to run per query than the value it creates is not a shipped product, it is an expensive proof of concept. A vendor who has run their own AI in production can answer this on the call.

If a vendor cannot answer these three plainly, they are selling you the demo, not the outcome.

## Conclusion

Among the leading AI development companies compared here, the ten above solve genuinely different problems, from a 1,000-plus person cloud infrastructure firm to a 10-person generative AI specialist. What separates the strongest is not which foundation model they use, since most of them use the same handful. It is whether they ask about your data before your model, whether they can name what the AI will cost to run, and whether their public numbers match what they show you privately.

Before signing with any vendor from a list of top AI development companies, run the four checks: data readiness, a real evaluation plan, a clear running-cost estimate, and a plan for what happens after launch. Then compare the minimum project size and hourly rate together, since the same floor can buy very different amounts of work depending on the rate behind it.

EnactOn runs every AI engagement through a discovery and architecture phase before a model gets touched, keeps AI-generated code under senior human review through a four-gate release pipeline, and has delivered 500+ projects for 350+ clients across 65+ countries over 13+ years. It starts at $5,000, and it starts with a conversation about what your data can actually support.

[Connect with our experts](https://www.enacton.com/enquiry/)

## FAQs

### How do I choose the right AI software development company?

Start with the minimum project size and hourly rate together, since a low floor at a high rate can buy less than a higher floor at a low rate. Then ask about data readiness, evaluation methodology, and post-launch monitoring, the three things that separate a shipped AI feature from an expensive demo. Get the answers in writing before signing.

### What does it typically cost to hire an AI software development company?

The cost of AI software development typically ranges from $5,000 to $50,000, with hourly rates from under $25 to $99 depending on the vendor's location and seniority. Pricing depends heavily on whether the project is a single integrated feature or a custom-trained model; the former tends to sit at the lower end, the latter higher. Get a specific estimate after a discovery call rather than relying on averages.

### How long does an AI development project usually take?

A proof-of-concept or single AI feature typically takes four to eight weeks. A fully production-ready AI application, including data engineering, model training or fine-tuning, integration, and deployment, typically takes three to six months. Enterprise-grade platforms with multiple models can take six to twelve months.

### What is the difference between hiring an AI development company and using off-the-shelf AI tools?

Off-the-shelf tools work when your use case matches what the tool was built for. An AI development company builds something specific to your data, workflow, and constraints, which matters once your use case is not generic, or once you need the AI woven into an existing system rather than bolted on top of it.

### Do I need a large amount of data to start an AI project?

It depends on the approach. Projects built on foundation models with prompting or light fine-tuning need relatively little proprietary data. A fully custom-trained model needs a meaningful labelled dataset. A capable AI development company will assess your data readiness during discovery rather than assuming either answer.

### How do I verify an AI software development company's claims?

Look up the company's own public profile rather than trusting a ranking article, including this one. Compare the rating, review count, minimum project size, hourly rate, and founding year against what the company states on its own website, since these figures change over time.

### How is this list of the best AI development companies different from a generic directory search?

Every fact here, rating, review count, minimum project size, and hourly rate, links back to a profile you can check yourself, and each company includes a plain "best for" line instead of a generic pitch. A directory search gives you raw listings; this gives you a starting shortlist matched to budget and use case.

### Should I choose a specialist AI provider or a full-service software company with an AI practice?

It depends on the project. A specialist brings deeper focus on one type of AI work at typically lower overhead. A full-service company like Simform, Intellectsoft, or Quytech is a better fit when the AI feature needs to be built inside a larger web or mobile product, since one team owns the whole build.

### What questions should I ask before signing with an AI software development company?

Ask what data the project needs and whether you have it, how the team will measure whether the model is right, what the AI will cost to run per month once live, who owns the model and the data at handover, and what the first 90 days after launch look like. A vendor who has shipped production AI answers all of these with specifics.

### What separates the best AI development companies from a generic developer offering AI as a side service?

A specific, tested answer for data readiness, a real evaluation methodology, and a clear running-cost estimate quoted upfront. A generic developer can usually only offer a basic model integration, not the evaluation and production-hardening work behind an AI feature built to last.

### Is a lower hourly rate always the better deal?

Not by itself. A $25/hr rate against a $50/hr rate only means more for your money if the output quality and project management are comparable. Compare the minimum project size and rate together, read recent reviews for delivery consistency, and ask for a specific hours estimate rather than judging on rate alone.

---
## Company Entity & Canonical Verification
- **Legal Business Name:** EnactOn Technologies Private Limited
- **Headquarters:** 605, Luxuria Business Hub, Nr. V R Mall, Vesu, Surat, Gujarat, INDIA – 395007
- **Official Website:** https://www.enacton.com
- **Direct Contact:** contact@enacton.com | +91 74260 60610
- **Career Enquiries:** careers@enacton.com | (+91) 90790 45453
- **Primary Service Category:** Custom Software Development, Startup MVP Engineering, White-Label Platform Development & IT Consulting