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CodingCops

CodingCops

Review
8.2/10
50 - 249 employees·Est. 2010·Reviewed Mar 2026

Chicago full-cycle technology partner for startups and enterprises since 2010

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Best For
Startups and growing enterprises that need a versatile, cost-effective full-cycle development partner for complex technical challenges. CodingCops is well suited for teams needing access to vetted AI, cloud, or mobile engineers at competitive rates without sacrificing engineering quality.
Hourly Rate
$25-49/hr
70% below the $125/hr median for software agencies in United States
Min. Project
$5,000
Industries
Startups, Enterprise, Technology
CodingCops

Clients

LocabletaskGo MomentGenuityKallidusSaplingSteadiPaypatientIQ

About CodingCops

CodingCops is a Chicago-based full-cycle technology partner founded in 2010, helping startups and enterprises design, build, scale, and maintain software systems. The team of pre-vetted engineers offers comprehensive services spanning AI and machine learning, generative AI, web and mobile development, SaaS, cloud infrastructure, and DevOps. With a 4.8 Clutch rating and competitive rates starting at $25/hr, they provide elite engineering at cost-effective pricing.

Who CodingCops Is Best For

Startups and growing enterprises that need a versatile, cost-effective full-cycle development partner for complex technical challenges. CodingCops is well suited for teams needing access to vetted AI, cloud, or mobile engineers at competitive rates without sacrificing engineering quality. Engagements perform best when stakeholders ali...

Why Choose CodingCops

Competitive $25-$49/hr rates with pre-vetted senior engineering talent
4.8 Clutch rating and comprehensive services from AI to DevOps
Full-cycle capabilities covering the entire product lifecycle from design to maintenance

Things to Consider

Very low hourly rate suggests some offshore composition in the team
Less specialized in specific verticals compared to niche-focused agencies

CodingCops Services

Custom Software DevelopmentAI and Machine LearningGenerative AIWeb DevelopmentMobile App DevelopmentSaaS DevelopmentCloud InfrastructureDevOpsQA Testing

Selected Work

Optimizing a Data-Intensive Enterprise System for Stability and Operational Efficiency

Optimizing a Data-Intensive Enterprise System for Stability and Operational Efficiency

Block By Block

Block By Block is an enterprise platform designed to manage and process large volumes of operational and transactional data for public-serving environments. The system supports complex workflows, reporting, and data-intensive modules, serving multiple stakeholders while maintaining reliability and performance.

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Building A SaaS-Based IT Asset Management Solution

Building A SaaS-Based IT Asset Management Solution

Genuity

GoGenuity is a SaaS platform designed to simplify IT asset management and software procurement for modern businesses. Built for IT teams and finance departments, the platform helps companies manage everything from hardware and software tracking to contract and vendor spend management on one unified dashboard.

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Modernizing Credit Union Technology for a Seamless Banking Experience

Modernizing Credit Union Technology for a Seamless Banking Experience

Credit Union

Modernized a credit union's legacy VB6 loan-scoring stack into a responsive, secure platform — replacing lagging queries, manual report generation, and weak data protection with encrypted, automated workflows for a seamless banking experience.

View case study

Reviews from Google

4.2/5 (17)
5/5· 10 months ago

I thought their handling of our e-commerce platform upgrade was excellent. The backend functioned flawlessly, and the design felt sleek and modern. Their approach clearly demonstrated a focus on digital transformation.

5/5· 11 months ago

We hired CodingCops to build a modern investment dashboard for our users to track portfolios, dividends, and risk exposure in real time. Their team used Next.js for SSR, integrated with Plaid and Yahoo Finance APIs, and built visual components with Chart.js. The end product looked clean, loaded fast, and met strict data accuracy standards. I highly recommend them.

Reviews sourced from Google

See all 17 reviews on Google

Photos

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