DEV Community: Inna Lebedeva

Top 10 CRM Development Companies to Watch in 2025

Inna Lebedeva — Tue, 11 Nov 2025 17:31:57 +0000

If you’re planning to build a custom CRM, choosing the right development partner can make or break your project. From automation to AI insights, modern CRMs do far more than manage contacts — they streamline operations and drive growth.

💡 We’ve analyzed the top 10 CRM development companies based on their technical depth, scalability, innovation, and transparency.

🏆 Featured Companies

Greenice — Builds scalable, AI-ready CRMs tailored to each business. Ideal for SMBs seeking affordable, high-quality solutions.
ScienceSoft — Enterprise-grade developer with 30+ years of experience and advanced AI/analytics expertise.
TekRevol — Innovative U.S. team combining design, mobile, and web solutions for mid-sized companies.
Cleveroad — ISO-certified European developer known for AI-powered CRMs and strong data security.
Freshcode — Eastern European agency delivering flexible, automation-ready CRMs for startups and SMBs.
Code B — Cost-effective Indian developer building AI-driven dashboards and integrations for SMEs.
Ascendix — U.S.-based Salesforce and Dynamics 365 expert focused on enterprise and real estate CRMs.
Kanhasoft — Experienced custom software team specializing in AI-enhanced CRM and ERP systems.
Cloud Consulting Inc. — U.S. consultancy implementing cloud-based CRMs using Salesforce, SAP, and ServiceNow.
SingleStone — Strategic CRM consultancy helping enterprises align technology with long-term business goals.
🔍 What You’ll Learn
Which vendors are best for startups, SMBs, or enterprises
How leading firms handle security, compliance, and scalability
What budgets to expect — from $7K MVPs to $150K+ enterprise builds

📊 Whether you’re upgrading an outdated system or building from scratch, this list will help you find a partner that truly understands your business.

👉 Read the full comparison: Top 10 CRM Development Companies in 2025

How to Build a CRM: Step-by-Step Guide for Businesses

Inna Lebedeva — Fri, 24 Oct 2025 15:25:10 +0000

Most companies outgrow spreadsheets and disconnected tools at some point. Leads get lost between emails, customer data lives in different systems, and reporting becomes guesswork.
That’s when the idea of building a custom CRM comes in.

In this guide, we’ll break down how to build a CRM system — from planning and choosing features to development, integrations, and launch.

🧭 What Is a Custom CRM?

A custom CRM is a customer relationship management system built (or heavily customized) around your company’s unique workflows, data, and integrations.

Unlike off-the-shelf tools, a custom CRM:

Fits your processes instead of forcing you to adapt to them.
Connects all your data sources — marketing, operations, accounting.
Can scale or evolve as your business grows.

Today, there’s a wide range of options: you can start with open-source or low-code tools, or build from scratch when you need deep customization and integrations.

🧩 Build or Buy?

Ask yourself: how unique are your workflows and compliance requirements?

If you only need simple customization — custom fields, dashboards, basic reports — an open-source or low-code CRM might be enough.
If your processes are complex (e.g., logistics, healthcare, or legal industries), or you want to resell your solution as SaaS, a custom-built CRM will pay off long term.

💡 Example:
One of our clients, a logistics company, needed to unify their quoting, shipment tracking, and invoicing. We used EspoCRM as the foundation and added advanced features — automated quotes, carrier integrations, and AI-based cost estimation — saving time and costs while meeting all their business requirements.

⚙️ Key Trends in CRM Development (2025–26)

Modern CRM systems are evolving fast. Here’s what’s shaping them today:

Composable architectures – modular systems that can be expanded easily.
AI-driven and agentic CRMs – automating repetitive tasks and predicting outcomes.
Industry-specific (vertical) CRMs – prebuilt for niches like logistics or healthcare.
Compliance-by-design – data privacy and audit logs built into the system.
Hybrid “custom-on-top-of-open-source” approach – combining flexibility and cost-efficiency.

🛠️ Steps to Build a CRM

Planning

Start by defining your goals and mapping how leads become customers.
Identify:

Pain points (missed leads, poor reporting, manual work).
Key workflows and user roles (sales, operations, support).
Automation opportunities (lead capture, quote generation, reminders).

A good CRM blueprint reflects your real business logic — not a generic template.

Choosing Features

Every CRM has core modules:

Standard: contacts, pipelines, tasks, analytics, reports.
Industry-specific: shipment tracking, property listings, appointment scheduling, etc.
Integrations: email, accounting, marketing, and chat tools.
AI features: predictive lead scoring, chat assistants, smart analytics.

Start small — get the basics right, then scale.

Choosing a Tech Stack

The right technology defines scalability and cost.
Typical stack:

Backend: Laravel or Node.js
Frontend: React or Vue.js
Database: MySQL or PostgreSQL
Hosting: AWS, Google Cloud, or DigitalOcean
Integrations: REST or GraphQL APIs, webhooks
Optionally, start with open-source CRM like EspoCRM or SuiteCRM for faster delivery.

Development

Turn your plan into code:

Set up architecture, roles, and modules.
Build and test features in short iterations.
Integrate third-party APIs (email, accounting, AI pricing, etc.).
Demo progress weekly to collect feedback early.

Iterative development keeps the project aligned with business needs.

Testing

Before launch, test everything:

Functional: do features work as expected?
Performance: can it handle real data volumes?
Security: protect user and customer data.
Usability: real users should find it intuitive.

Thorough testing prevents costly disruptions after launch.

Implementation & Training

Launch gradually — one team or department at a time.
Train users with workshops, video tutorials, and clear documentation.
Monitor adoption and gather feedback to improve the system continuously.

A CRM only delivers value when your team actually uses it.

💰 How Much Does It Cost to Build a CRM?

Costs depend on scope, integrations, and developer rates.

Open-source foundation (e.g., EspoCRM) — from $5,000
Fully custom, industry-specific CRM — $15,000–25,000+

The investment pays off in streamlined operations, automation, and scalability.

🧠 Key Takeaways

Define your goals and workflows before writing code.
Start with essentials, expand later.
Choose a tech stack you can support long term.
Integrate everything your teams already use.
Plan for adoption and training early.

🏁 Final Thoughts

Building a CRM is not just about technology — it’s about creating a system that connects people, processes, and data.
Whether you use open-source tools or build from scratch, focus on aligning your CRM with your business reality.

Market Reality: What Clients Think AI Agents Cost vs. What They Actually Do

Inna Lebedeva — Mon, 13 Oct 2025 15:12:15 +0000

Many business owners come to the AI market with big ideas — and small budgets.
After analyzing 542 AI agent development jobs on Upwork, our team at Greenice discovered a clear pattern: most clients drastically underestimate the true cost of building production-ready AI systems.

Most hourly projects aimed for $20–$60/hour over 1–3 months — roughly $3K–$13K total.
Nearly 20% of fixed-price jobs had budgets under $1,000.
Fewer than 1% planned to spend over $10K.

In reality, building a robust, secure, and scalable AI agent costs 3–10× more than most expect.
External research confirms this: real-world projects range from $20K–$300K, depending on complexity.

Just a ballpark estimate — the cost of AI agent development for small businesses starts around $10K–$20K, while enterprise-grade agents often reach six figures.

If you’re budgeting for AI, think beyond a chatbot demo. A real agent — one that integrates with your data, learns from context, and scales with your business — needs proper architecture, infrastructure, and testing.

📊 Read the full analysis: AI Agent Development Cost 2025: A Detailed Breakdown

7 AI agent technology trends for 2025

Inna Lebedeva — Fri, 12 Sep 2025 15:36:04 +0000

AI agents aren’t just science fiction sidekicks anymore. They’re creeping into CRMs, back-office workflows, sales funnels, and even healthcare reception desks. To understand what’s actually being built (and paid for), we analyzed 542 real-world AI agent development jobs posted on Upwork — one of the largest freelance marketplaces.

Disclaimer: You can also enjoy our full article on AI agent development trends.

Here’s what we found 👇

1. Python is the Empire 🐍

In 52% of projects, Python powers the core logic of agents — more than all other languages combined. Startups love it for rapid prototyping, enterprises trust its ecosystem (TensorFlow, PyTorch, LangChain). Node.js and Go play strong supporting roles for APIs and real-time workloads, while Java, Rust, and PHP barely register.

Takeaway: If AI agents are the new apps, Python is their operating system.

2. Frameworks Define the Stack ⚙️

React (28.1%), FastAPI (22.3%), and Next.js (15.1%) dominate the interface + backend layer. Old staples like Django, Flask, and Angular are fading. Streamlit and Gradio still appear for prototyping, but production-ready builds increasingly standardize around the “big three.”

Takeaway: The AI agent frontend/backend stack is consolidating fast.

3. Memory Is the New Battleground 🧠

133 jobs specified databases or vector stores. Pinecone leads (22.6%), followed by PostgreSQL (18.8%) and Weaviate (16.5%). Open-source challengers like Qdrant and Milvus are carving out niches, while traditional DBs like MySQL and MongoDB linger.

Takeaway: Specialized vector stores are winning mindshare, but Postgres refuses to die.

4. OpenAI Rules, But Challengers Emerge 🤖

366 jobs mentioned LLMs or model providers. OpenAI dominates (72.4%), but Claude (16.6%), Gemini (3.8%), Mistral (3.0%), and Llama (2.7%) are steadily appearing. Hugging Face and Cohere trail far behind.

Takeaway: OpenAI is the default brain, but 2025 is seeing cautious multi-model hedging.

5. From Model Builders to Agent Engineers 🛠️

126 jobs focused on AI engineering frameworks like LangChain (55.6%), CrewAI (9.5%), LlamaIndex (7.1%), and Autogen (5.6%). Traditional ML libraries (PyTorch, TensorFlow) are now supporting roles, not stars.

**Takeaway: **The hard part isn’t training models anymore — it’s wiring them into systems.

6. No-Code Is Not a Side Show ✨

Nearly half of projects (247) mentioned no-code/low-code tools. N8N leads (38.1%), Zapier (27.9%) remains non-technical teams’ favorite, and Make.com (15.0%) rounds out the top three. Airtable and Notion often sit beneath as “lightweight databases.”

Takeaway: Businesses want AI agents fast — no-code tools are how they’re getting there.

7. Voice Is Becoming Default, Not Novelty 🎙️

181 jobs mentioned voice, speech, or audio tech. Twilio still provides the pipes (23.2%), but newcomers like Vapi (16.6%) and Retell (13.3%) are shaping the next generation of real-time, conversational agents. ElevenLabs (14.4%) and Whisper (12.2%) are powering voices and ears.

Takeaway: Agents aren’t just text windows anymore — they’re voices you can call, listen to, and talk with.

Wrapping It Up

Our analysis shows that AI agents are moving out of demo-land and into the daily infrastructure of business. They’re becoming less about moonshot ideas and more about automating the boring but essential tasks that keep companies running.

And this is not just abstract observation:
We’re a Top Rated agency on Upwork, and we see the same patterns in client projects daily. This dataset gives us a rare bottom-up view of what businesses are actually building in 2025.

Why Now Is the Right Time to Build a Babysitter App

Inna Lebedeva — Wed, 20 Aug 2025 13:03:00 +0000

The childcare industry was valued at $60.4 billion in 2022 and continues to grow steadily. With more families where both parents work, the demand for flexible, reliable babysitting solutions has never been higher.

Here are a few reasons why building a babysitter app makes sense today:

Dual-income households are the norm. More parents are career-focused and willing to pay for flexible childcare options.
On-demand services are booming. Just like food delivery or ride-hailing, parents want babysitters available on short notice.
Trust through tech. AI matching, background checks, and secure payments make booking babysitters safer than ever.
Sitters need visibility. Many caregivers only work part-time and need platforms to market their services easily.
It’s more than babysitting. Pet sitting, tutoring, and even virtual babysitting are growing side-markets.

Platforms like Care.com and UrbanSitter have already proven the model, but there’s still space to innovate — whether that’s in niche services, better security, or improved user experience.

👉 We’ve put together a full guide on building a babysitter app, covering features, business models, and challenges. Read it here - How to make a babysitting website.

What We Can Learn From Craigslist’s Simplicity

Inna Lebedeva — Tue, 19 Aug 2025 13:24:48 +0000

Craigslist is one of the earliest and most enduring online classifieds platforms. Launched in the mid-1990s by Craig Newmark, it started as a simple email list for local events and evolved into one of the most visited websites in the U.S. What’s remarkable is how little it has changed since then.

Unlike modern startups chasing rapid growth, Craigslist has stayed lean and user-focused. Its features are minimal but effective:

Quick listings posting with email verification
Basic registration for some categories
A search engine with filters to handle millions of listings
A simple events calendar (the origin of the platform!)
Anonymous email communication for security
Community-driven ad moderation through flagging

Even with this barebones setup, Craigslist monetizes selectively—charging fees for job postings, rentals, and some categories—yet generates more than enough to sustain itself without chasing billions in revenue.

For developers, it’s a reminder that usability and trust often matter more than flashy features. Sometimes the simplest solution is the one that lasts.

👉 I’ve written a full article exploring Craigslist’s features, monetization, and lessons for building your own classifieds platform — read it here - How to start a website like Craigslist

Building an MLM Platform: What Developers Should Know

Inna Lebedeva — Mon, 18 Aug 2025 15:26:34 +0000

Multi-Level Marketing (MLM), also called network marketing, is a business model where products are sold by independent representatives who earn commissions not only from their own sales but also from those they recruit. To make this model work at scale, companies rely heavily on MLM software — handling everything from sales tracking to genealogy trees.

Why Build an MLM Platform?

An MLM website automates what would otherwise be a massive organizational headache:

Tracking upline/downline networks
Automating commissions and payouts
Managing orders and inventory
Storing client data and purchase history
Running analytics and reporting
Training reps with built-in LMS features Without automation, scaling is almost impossible.

Revenue Models in MLM

Before building the platform, it’s key to understand how MLM businesses make money. The most common models include:

Product sales (commissions from 5–50%, sometimes more)
Starter kits or initial investments (e.g., Tupperware’s business kits)
Membership fees for access to discounts or training
Software subscriptions for CRM, analytics, and team tools Features That Matter Most

An MLM platform usually includes three main parts:

eCommerce Layer: product catalog, cart, and rep registration.
Distributor Back-Office: dashboard, commission calculator, genealogy tree, CRM, task management.
Admin Panel: commission management, payment options, user management, reporting, and affiliate tracking.

Add-ons like virtual parties, chatbots for lead gen, and AI-driven personalization are now becoming must-haves.

Tech Trends to Watch

Virtual parties via Zoom or Facebook replacing traditional in-home sales demos.
e-Wallets that pay commissions instantly rather than waiting weeks.
Chatbots for onboarding and handling FAQs.
Personalized recommendations powered by AI.

Development Approach

You’ve got a few options:

DIY / CMS-based builds (WordPress, etc.) – cheap, but risky for scaling and security.
Freelancers – moderate cost, variable quality.
Custom development teams – high upfront cost, but scalable, secure, and flexible long-term. Most startups start lean with an MVP, then iterate as they learn which features actually matter.

Also read the full guide on How to make MLM software

💡 If you’ve ever built (or considered building) an MLM-style platform, what tech stack would you reach for? Laravel + Vue? Node.js + React? Something serverless?

I’d love to hear how others would tackle scaling features like genealogy trees or real-time commission tracking.

How We Approach Building a Modern Hotel Management System (HMS)

Inna Lebedeva — Tue, 12 Aug 2025 09:46:47 +0000

Over the past few years, we’ve seen hotels of all sizes move away from juggling spreadsheets, paper notes, and separate apps. Instead, they’re adopting Hotel Management Systems that bring everything into one place — from booking automation to revenue tracking.

If you’re curious about what goes into building one, here’s how we usually break it down.

1. Booking Automation
This is the backbone of any HMS.

Online Booking: A clear “Book” button on the website, an intuitive reservation flow, and instant confirmation emails.
Reservation Management: Calendar-based view to see all bookings and manage changes or cancellations.
Channel Manager: Automatic two-way sync between OTAs, GDS, and your own system to prevent overbookings and rate mismatches.

2. Guest Relationship Management (CRM)
An HMS can integrate with a CRM to track guest preferences, booking history, and spending patterns. With the right setup, you can:

Send personalized pre-stay and post-stay notifications.
Offer targeted promotions based on past stays.
Keep all communication and billing in one place.

3. Human Resources & Housekeeping

HR Tools: Role-based permissions, task assignment, time-off tracking.
Housekeeping Apps: Real-time updates on room status so cleaning can start immediately after checkout, not just at the traditional 2–3 PM slot.

4. Analytics & Revenue Management
This is where the system goes beyond task automation and starts helping management make decisions:

Dynamic Pricing: Adjust rates automatically based on demand, season, and events.
Integrations: Connect to POS systems, spa/restaurant software, and conference hall booking tools.
Reports: Occupancy rates, revenue per room, channel performance — all in one dashboard.

Why it matters
A well-built HMS doesn’t just save time — it creates better guest experiences, reduces operational errors, and increases revenue.

We’ve put together a full guide that covers each area of hotel management software development, including the tech stack we recommend for scalable hotel software.

How to Start Your Own Marketplace Startup (Step-by-Step)

Inna Lebedeva — Mon, 11 Aug 2025 14:21:56 +0000

Thinking about launching the next Airbnb, Fiverr, or Etsy? Here’s a practical roadmap for building a marketplace from scratch — without drowning in fluff.

1️⃣ Define Your Niche
Pick a space where:

You have experience (gives you an insider advantage)
The market is growing (so you ride the wave, not fight the tide)
Competition is manageable (easier to stand out)

💡 Example niches:

Consumer products (Amazon-style)
Real estate platforms
On-demand home services
Healthcare marketplaces
Peer-to-peer finance
Education/tutoring platforms
Job boards
Travel experiences

2️⃣ Research Your Market
Know your audience → Who are they? What do they need? How do they currently solve this problem?

Know your competition → What works for them? Where can you do better?

3️⃣ Nail Your Value Proposition
Ask yourself:
Why would anyone choose your platform over existing ones?

Better user experience
Cost savings
New tech integrations (e.g., AI price recommendations, instant verification)
Easier onboarding for suppliers

4️⃣ Choose a Business Model
Popular monetization options:

Commission per transaction
Subscriptions for recurring revenue
Listing fees for visibility
Freemium with premium upsells
Ads & featured listings

5️⃣ Prioritize Features
Start with the essentials:

Buyer & seller profiles
Product/service listings
Search & filtering
Secure payments & escrow
Messaging
Ratings & reviews

Add extras later: video shopping, personalization, AR/VR previews, AI recommendations.

6️⃣ Decide on Tech & Build Path
Three main routes:

No-code/low-code → Fastest but limited
White-label solutions → Customizable but not unique
Custom build → Full control, higher investment, better scalability

7️⃣ Build an MVP
Launch with just the core features → Test → Gather feedback → Iterate.
Don’t burn months (and $$$) building everything before knowing if people want it.

8️⃣ Launch & Grow
Keep improving:

Collect user feedback
Optimize UX and performance
Explore new features to increase retention

💬 If you’re considering building your own marketplace, start small, test fast, and stay flexible. The faster you validate your idea, the better your chances of building something people actually use.
We have a more detailed guide here: How to start a marketplace startup online

Short guide on how to create a CRM system

Inna Lebedeva — Fri, 08 Aug 2025 16:04:55 +0000

Custom CRMs aren’t for every business—but when off-the-shelf tools fall short, building your own can be the smartest move. Over the years, we’ve developed several CRMs from scratch for industries ranging from finance to eCommerce, and here’s what we’ve learned about what it takes.

🚩 Step 0: Do You Really Need a Custom CRM?
Before writing a single line of code, validate that custom development is necessary. In many cases, out-of-the-box CRMs (like HubSpot or Zoho) will get the job done—at least for a while.

But here are signs that you might need to build your own:

Crucial features are missing or too expensive to add
You need deep integrations with custom internal tools
Your business processes are too unique for off-the-shelf workflows

Example: For a factoring company, we built a CRM that automatically matched leads to lenders based on specific business rules. No third-party tool could support that logic.

🎯 Step 1: Define SMART Goals
Know exactly why you’re building it. Is it to shorten sales cycles? Improve reporting accuracy? Automate specific workflows?

Using the SMART framework (Specific, Measurable, Achievable, Realistic, Time-bound) helps you set focused development targets and scope an MVP properly.

📋 Step 2: Discovery Phase
Start with a specification document outlining:

User roles and flows
Required integrations (e.g., WMS, accounting software)
Feature set: lead management, invoicing, reporting, etc.

This step prevents overbuilding and helps estimate cost accurately.

🧩 Step 3: Design Core Features First
A solid MVP should include:

Contact & lead management
Task and activity tracking
Visual sales pipeline
Dashboards & reports
Invoicing
Mobile access
API integrations

You can always build advanced features later—like lead scoring, chatbot support, or social CRM.

💰 Step 4: Estimate the Cost
Custom CRM cost depends on complexity, team location, and features. Here’s a rough estimate:

- MVP build: $30K–$65K
- Timeline: 3.5–7 months
- Outsourced team: Devs ($30–$60/hr in Eastern Europe), PM, QA, and tech lead included

Yes, that’s more than a HubSpot subscription—but you’re building something tailored exactly to your business.

🔁 Step 5: Build, Launch, Iterate
Start small. Build just enough to go live, collect feedback from real users, and refine. A flexible architecture will let you adjust features without throwing everything away.

One major benefit of custom CRM development? You control the roadmap, not a SaaS vendor.

You can also read a full article on how to create a CRM system. And don't forget to comment here

Building a dog walking app like Wag or Rover

Inna Lebedeva — Mon, 04 Aug 2025 14:13:38 +0000

At our agency, we recently helped a pet walking startup launch their booking platform from scratch. Along the way, we learned a lot about what it really takes to build a solid MVP in this space - from must-have features to tech stack decisions that keep costs low and scalability high.

If you're thinking about building something similar, here’s what we’ve learned.

Must-Have Features for a Dog Walking Platform
Your users expect more than just basic booking. To stand out (and to even be considered an alternative to apps like Wag or Rover), you’ll need to get a few core features right from the start:

Profile management: Separate profiles for owners, walkers, and pets. Each pet might have medical notes, behavior tips, and care preferences. Walkers need experience, availability, and reviews.
Flexible booking: Support for on-demand and recurring walks with calendar integration.
In-app payments: Integrate Stripe or PayPal for seamless, secure payments and automated payouts.
Ratings & reviews: After each walk, feedback builds trust and quality across your platform.
Messaging: A built-in chat makes it easier for walkers and owners to stay on the same page.
Emergency support: A simple panic button can go a long way in building user trust.
Push notifications: Keep users in the loop with booking alerts, updates, and reminders.
Admin dashboard: You'll need oversight tools to manage users, moderate disputes, and track performance.
Optional but impactful: GPS tracking, walk photos, and verified walker badges are excellent for user retention.

One tip: You don’t need to launch everything on day one. Decide what’s essential for your MVP, and what can be phased in after validation.

Tech Stack: What Worked for Us
To keep the project lean and flexible, we started with a responsive web app. It covered the basics, worked across devices, and shared the same backend with the future mobile app.

Once the platform proved itself, we moved on to a cross-platform mobile app using React Native. This way, we kept development fast and cost-efficient while still offering a native-like experience.

Here’s the stack that worked well for us:

Frontend: React (web), React Native (mobile)
Backend: Laravel
Database: Firebase (real-time updates) + PostgreSQL
Payments: Stripe
Maps/GPS: Google Maps API
Hosting: AWS + Docker setup for scalability And yes - data privacy matters. If you’re operating in Europe or the UK, make sure you’re GDPR-compliant from day one.

MVP Budget & Timeline
A lean MVP with core features (booking, payments, messaging, admin panel) typically runs around $10,000–$20,000 and takes 6–8 weeks to build. A full-scale product with advanced features can easily stretch to $40,000+ and take 4–6 months.

We’ve put together a complete guide on building a dog walking app - from planning features to choosing the tech stack and estimating costs. It’s based on real projects and hard-won lessons.

Do you have any insights on this topic? Please join the conversation.