Top engineering teams are
powered by Superblocks
Developers at the most ambitious companies use Superblocks to deliver custom operational software 10x faster.
Demo request submitted
Hear from our customers
.avif)
“The frontend work was 10x faster with Superblocks"
Chris Esposito
Chief Information Officer, Third Bridge
"Junior engineers can now build apps that previously required senior engineers"
Pradeep Mannakkara
Chief Information Officer, Cvent
"Superblocks handles SSO, RBAC, & audit logs so we can focus on value"
Ido Stern
SVP Engineering, HiBob
"We saved 100s of eng hours and reduced ticket resolution time by 50%"
Rishub Kumar
Product Engineer, Alchemy
Business impact
We help customers drive measurable results
Enterprises use Superblocks to improve customer experience at scale and accelerate time to market for new offerings, while reallocating engineering time to core revenue-generating products.
- 10
months eliminated from Payhawk’s roadmap
- 35%
reduction in Moveworks’ support response time
- 70%
faster hospital onboarding for Casechek
- 5x
faster for me&u to launch new internal apps
Case studies
Read the customer stories
See how top companies have scaled operations and improved customer experiences by building better internal tools using Superblocks.
All stories
.png)
.png)
.png)
.png)
.png)
.png)
Testimonials
Trusted by CTOs and engineering leaders
Top engineering leaders use Superblocks to deliver better operational software, faster, while meeting increasingly stringent security, compliance, scalability, and uptime requirements.
"As CTO of a high growth operationally intensive business, we chose Superblocks because it was simple to deploy, billed by usage and intuitive for our engineering teams to build a suite of tooling for our global partner network."
"Superblocks has saved us 100s of engineering hours on internal tools and reduced support ticket resolution time by 50%."
"Superblocks is ideal for Fintech companies where KYC, fraud and risk are critical tooling areas that evolve weekly. The on-prem agent is a unique low-overhead solution to keep our customer data within our VPC."
“With Superblocks, we quickly built business critical tools to enable our front-line operations teams to handle billing inquiries and onboard hospitals 70% faster, while keeping Engineering focused on building our core product.”
“We built apps on Superblocks for Support teams to troubleshoot our enterprise AI platform without involving Engineering. As a result, we can resolve customer issues faster, increase adoption, and deliver a superior chatbot experience.”
"Superblocks replaced Retool, Mode Analytics and Google Cloud Scheduler all while saving us money. Consolidating our tooling in one place has been a game-changer for engineering productivity."
"Traditionally, setting up per-study instances of trials can take Clinical Research Organizations 15+ weeks. By combining our in-house technology with internal tooling powered by Superblocks, we’re able to reduce that to less than 5 weeks."
"As an insurance business, we rely heavily on Superblocks to build mission-critical internal tooling and save time twice – up front in less engineering effort and continuously through increased Support Agent productivity."
"Look. We are spending tons of €€€ on Zapier and such since day 1, but Superblocks here is already a complete game changer for us."
"Superblocks saves Super developers significant time building custom internal tools to support engineering and operations team productivity, allowing us to focus on core logic and scaling our business."
"Superblocks is the missing piece that allows us to add UIs on top of our existing Rockset queries in just minutes without learning new JavaScript frameworks. We can iterate on these just as fast, giving our team access to the data they need for improving client engagements in the field."
"Just 1 hour after taking measurements for over 300 protein samples, I was able to pull up Superblocks to walk the CEO through the data we just captured, instantly connected with all the metadata. Linking this data with high-fidelity would take us many hours or days to do manually. Similarly, we now have reusable infrastructure that lowers barriers to run future experiments at larger scales."
