Sphere wins 2026 Global Recognition Award
Sphere Partners
AI-Powered Software & Product Engineering

Build smarter. Ship faster. Lead further.

From concept to production in days — not months. Sphere's Precision-Driven Engineering™ framework compresses timelines by 60–80% using AI-accelerated development, agentic workflows, and LLM-assisted architecture.

Book a free assessmentSee how we build
80%Faster to production vs traditional dev
$1.2MSaved for PetroLedger in year one
2–6Weeks from concept to live MVP
600+Projects delivered — 21 years of trust

Organizations around the world trust us

ideel
JFrog
Clearcover
91 Seconds
PHC
NextCapital
DigitalOcean
Enova
bp
Groupon
CreditNinja
Navy Pier
DoorDash
Gett
Experify
ideel
JFrog
Clearcover
91 Seconds
PHC
NextCapital
DigitalOcean
Enova
bp
Groupon
CreditNinja
Navy Pier
DoorDash
Gett
Experify

What we build

Five pillars of AI-native engineering

We don’t bolt AI onto existing processes. Every engagement is designed from first principles around intelligence, speed, and measurable outcomes.

AI-Native Product Engineering

New software built with AI at the core of UX, logic, and data — not bolted on as a feature. Competitors add AI. We build AI-first.

→ Intelligence from day one

Agentic Development Acceleration

AI agents write, test, review, and ship code in parallel. We deliver in days what traditional teams take months to produce.

→ 10× engineering velocity

Legacy Modernization at AI Speed

Replace bloated SaaS subscriptions and aging systems with lean, custom AI-enhanced software — with an ROI that pays for itself fast.

→ Cut SaaS bills by millions

Intelligent Automation Engineering

Beyond basic RPA (robotic process automation) — we build self-learning, decision-making automation systems that create operational leverage without headcount.

→ Decisions, not just rules

MVP to Market in Weeks

Our AI-compressed product launch cycle takes you from validated concept to production-ready MVP in 2–6 weeks. Zero to production, proven.

→ Zero to production, proven
12×
live MVPs shipped

Precision-Driven Engineering™

Our proprietary methodology

PDE™ is Sphere’s AI-accelerated development framework — a repeatable system for compressing timelines by 60–80%. Five stages. Two weeks. Production-ready.

Five stages. Two weeks. Production-ready.

1

AI Architecture Audit

Rapid assessment of your stack, backlog, and goals — in 48 hours.

2

Agentic Scaffolding

AI agents set up architecture, boilerplate, and test harnesses.

3

LLM-Assisted Build

Human engineers + LLM (large language model) write, review, iterate in real time.

4

Automated QA

AI-generated tests run continuously; humans validate edge cases.

5

Ship to Production

Live, monitored, and ready for scale — often in under 2 weeks.

Proof point — PetroLedger

We don’t just build fast. We build things that save millions.

Case study — PetroLedger

They replaced our entire SaaS onboarding stack in 11 days. We saved $1.2M in the first year.

Custom AI onboarding platform · Energy sector · Delivered in 11 days

11
Days to production
$1.2M
Saved in year one
$380K
Annual SaaS replaced

Calculate your PDE™ ROI

See exactly how much time, money, and market advantage Precision-Driven Engineering™ can unlock for your organisation. Input your SaaS costs, backlog size, and team — get a real projection in 60 seconds.

Results:

Time Saved:
0 hours
Cost Saved:
$0
Error Savings:
$0
Total Savings:
$0

Ready to compress your timeline?

Book a free 30-minute AI Readiness Assessment. We’ll map your biggest opportunity — no pitch, no pressure.

Book Free AssessmentSee how we build

Who we work with

Built for leaders who refuse to wait

We speak the language of CTOs, CPOs, and CFOs who need outcomes — not project timelines.

The Pragmatic CTO

Engineering team is too slow. Backlog is 18 months deep. You need output, not more process.

“Our AI-accelerated dev process gives your team a 10× multiplier.”

The Cost-Conscious CFO

SaaS bills are out of control. ROI (return on investment) on software spend is unclear.

“We replaced a $380K SaaS stack with custom AI software. Client saved $1.2M year one.”

The Innovation-Hungry CPO

Can't ship fast enough to test new product ideas. Roadmap items sit untouched for quarters.

“We take your concept to a production-ready MVP in 2–6 weeks.”

We don’t just promise speed.We prove it — precisely

AI onboarding platform — PDE™ delivered in 11 days

AI onboarding platform — PDE™ delivered in 11 days

Replaced a legacy SaaS platform with a precision-engineered AI system. Cut ramp-up time by 120%, eliminated $1.2M in annual SaaS costs, and recovered the full project investment within six weeks of go-live.

  • $1.2MSaved year one
  • 11 daysTo production
  • 120%Ramp-up time cut
Precision QA automation slashes mobile test cycle by 70%

Precision QA automation slashes mobile test cycle by 70%

Built a custom AI-powered test automation framework using PDE™. Dramatically accelerated QA cycles and tripled release velocity — without adding a single headcount to the team.

  • 70%QA cycle reduction
  • 3xDev velocity boost
  • 100%Critical path coverage
See Case Studies

Sphere in Numbers

We understand that actions speak louder than words and numbers but here are some key facts about us.

Get the Right Talent now

0

Years of Excellence

0+

Projects Delivered

0

Countries

Globally diverse, community-focused

0+

Clients

top 20 average 8+ years

Hear from

our clients
Lee Ebreo

Lee Ebreo

VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.

Selah Ben-Haim

Selah Ben-Haim

VP of Engineering at Prominence Advisors

Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).

Ben Crawford

Ben Crawford

Senior Product Manager at Enova Financial

I would expect to be delighted. It's been a really positive experience, working with Sphere, and I would expect you to have the same.

Mark Friedgan

Mark Friedgan

CEO at CreditNinja

Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. As an offshore team, they have been an integral part of our organization and we plan to continue growing with them.

René Pfitzner

René Pfitzner

Co-Founder at Experify

Sphere provided excellent full-stack development manpower to augment our team and help push our product forward. They are easy to work with, tech-savvy and proactive.

Bruce Burdick

Bruce Burdick

Chief Information Officer at Integra Credit

We've been working with Sphere and its excellent consultants since our founding. I've found that they are true partners in the success of our business.

Jemal Swoboda

Jemal Swoboda

CEO at Dabble

The resources and developers that Sphere Software provides are skilled and have the required technical expertise, but more importantly, they have helped us build a culture of excellence within our team.

Arthur Tretyak

Arthur Tretyak

Founder and CEO at IntegraCredit

With Sphere, we were able to migrate in half the time it would take to train an additional FTE… and for a fraction of the cost. Our experience with Sphere has been exceptional.

Lee Ebreo

Lee Ebreo

VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.

Selah Ben-Haim

Selah Ben-Haim

VP of Engineering at Prominence Advisors

Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).

TOP AI CODE GENERATION COMPANY UNITED STATES 2025

TOP AI TEXT GENERATION COMPANY FLORIDA 2025

TOP APP DEVELOPMENT COMPANY MANUFACTURING 2025

GLOBAL RECOGNITION AWARDS 2026

TOP ARTIFICIAL INTELLIGENCE COMPANY UNITED STATES 2025

TOP CHATBOT COMPANY UNITED STATES 2025

TOP RECOMMENDATION SYSTEMS COMPANY UNITED STATES 2025

Everything you need to know about AI-powered software engineering.

Precision-Driven Engineering™ (PDE™) is Sphere's proprietary AI-accelerated software development methodology. It is a five-phase framework — Precise Discovery, Agentic Build, Precision QA, Rapid Iteration, and Production — that embeds AI agents and intelligent automation into every stage of the software delivery lifecycle. PDE™ consistently compresses traditional development timelines by 60–80% while maintaining production-grade engineering quality. Unlike approaches that simply use AI coding tools, PDE™ applies AI across the full engineering process, governed by senior engineering judgment at every phase.
Using Precision-Driven Engineering™, Sphere consistently delivers production systems 60–80% faster than traditional development timelines. Our fastest recorded production deployment was 11 days — for a full AI onboarding platform that replaced a seven-figure annual SaaS spend. New product MVPs typically reach production in 2–6 weeks versus the industry-standard 4–9 months. The compression comes from parallel AI workstreams, automated testing, and agentic code generation across all development phases simultaneously.
AI-accelerated development with PDE™ typically costs 30–50% less than equivalent traditional development for the same output. For context, a mid-complexity system that would traditionally cost $300K–$500K often runs $180K–$300K with PDE™ — and is delivered in weeks rather than months. For SaaS replacement projects, the investment is typically recovered within 6–12 months through eliminated subscription costs. We offer fixed-scope, fixed-price engagements. Use our free ROI Calculator at sphereinc.com/roi-calculator to model your specific scenario.
Yes — and for many businesses, it's the most financially compelling technology decision they can make. The build-vs-buy equation has fundamentally shifted. Using PDE™, we've built production SaaS replacements in as few as 11 days. The typical candidate is a SaaS tool where the company uses 20–40% of features but pays for 100%. Custom AI software covers exactly the features needed, costs a fraction of multi-year SaaS commitments, and creates competitive differentiation rather than parity. We offer a free SaaS Replacement Assessment to model this specifically for your situation.
Sphere has delivered AI-powered engineering across financial services, consumer lending, insurance, healthcare, oil and gas, manufacturing, real estate technology, and B2B SaaS. Our 300+ projects over 21 years span mid-market companies ($50M–$500M revenue) and enterprise organisations. Notable clients include Groupon, Enova, OneMain Financial, ClearCover, CreditNinja, and Prominence Advisors.
Agentic software development refers to development workflows where AI agents autonomously perform tasks — writing code, running tests, reviewing pull requests, generating documentation — without step-by-step human instruction. In Sphere's PDE™ methodology, agentic build is the second phase of a five-stage process. AI agents operate 24/7 against a locked architecture specification, with senior engineers reviewing and governing their output. This is what enables the dramatic compression in delivery timelines — the system effectively codes continuously rather than only during working hours.
Through PDE™ Phase 3: Precision QA. AI-generated code at Sphere is never shipped without human review. Every significant code output passes through senior engineer assessment before it is committed. In addition, AI testing agents build comprehensive automated test suites — unit, integration, and end-to-end — covering 80%+ of critical paths. Security scanning, vulnerability assessment, and performance benchmarking are automated across every build. The result is typically higher test coverage than traditional development, not lower.
AI-assisted development means individual developers use tools like GitHub Copilot to write code faster. AI-powered development — specifically PDE™ — means AI is embedded across the entire engineering lifecycle: requirements analysis, architecture planning, code generation, testing, code review, and deployment validation. The difference in outcome is dramatic: AI-assisted development produces modest efficiency gains (10–30%). PDE™ produces 60–80% timeline compression with higher automated test coverage.
Most engagements begin within 1–2 weeks of initial conversation. We start with a free 30-minute AI Readiness Assessment — a structured conversation about your specific situation, backlog, and goals. From there, our PDE™ Precise Discovery phase can begin within days. For scoped pilot engagements (4–6 weeks, fixed price), we can typically kick off within two weeks of agreement.
Yes. For well-defined scopes — SaaS replacements, MVP builds, specific modernisation initiatives — we offer fixed-scope, fixed-price engagements. PDE™'s Precise Discovery phase is specifically designed to lock scope tightly before any build begins, which is what makes fixed-price commitments reliable for both parties. We also offer dedicated team and time-and-materials models for longer-running programmes.

Tell us about your build

Please provide your contact details, and our team will get back to you promptly.

Latest from Our Software & Product Blog

Persistent AI Memory for Enterprise: Why Your AI Needs to Remember

Sphere's Engram memory layer raises enterprise AI accuracy from 77% to 92% by retaining decisions, incidents, and customer context across sessions and users.

Agentic RAG: When Standard Retrieval Isn't Enough

Agentic RAG adds planning, tool use, and multi-hop retrieval at real cost. Learn when the premium pays and how to govern it safely in the enterprise.

Compiled Is Not Done.

A system that rewards activity instead of verified outcomes ships nothing that works. Grounded autonomy means a judge that inspects the real result, a ledger that scores its own predictions, and a rule that no metric may be faked.

Nobody Assigned This Work.

A system with no sprint board and no manager still does the right work first. Work behaves like a heat map — hot where it needs attention, cooling where nobody touches it — so idle agents follow the heat, with no central scheduler.

Get Started Today

Contact Us Now