Fintech
Payment, lending, and transactional platforms engineered for security, traceability, and auditability.
Engineering-First AI
Product Development Company
We build the products your roadmap keeps promising.
DotProduct is a software product development company helping businesses build, modernize, and scale digital products – from AI-powered applications and data platforms to enterprise software and connected systems.
NOVA-RUNNER // v2.6.4
LIVE PIPELINE
DEPLOYED ARCHITECTURE
CLUSTER 04 // ACTIVE
LLM CORE
v4.5-turbo
→
VECTOR DB
p99 < 24ms
→
ORCHESTRATOR
Auto-Heal
INFERENCE THROUGHPUT
4,820 req/s
RELIABILITY FACTOR
99.98% SLA
>
AUTONOMOUS AGENT [ID: 981]:
Payload verified against schema
>
SYNAPSE CLUSTER:
Distributed consensus reached (3 nodes)
>
SYSTEM HEALTH:
Operational. Zero drift detected.
01 / EXPERIENCE
+ years
Combined research & engineering experience
02 / SCOPE
Full lifecycle
From product discovery to scaled production
03 / PHILOSOPHY
AI by design
Intelligence built into the product from day one
What We Do.
AI Product Development
End-to-end AI products built from ideation to launch – LLM-powered applications, agentic systems, data platforms, and intelligent automation, engineered for production from day one.
AI & Technology Consulting
AI strategy, feasibility assessments, technology roadmaps, and CAIO-as-a-Service that turn emerging technology into practical, measurable outcomes.
Our Proven Framework.
From the first question to the next improvement.
N
STAGE 01
Need Discovery
KPI Alignment, technical constraints scoping, and system requirement definition.
KPI Alignment
O
STAGE 02
Operational Blueprint
System topology, data pipeline modeling, and iterative low-latency prototyping.
Solution Design + Prototype
V
STAGE 03
Verified Build
Test-driven development, automated code auditing, and zero-trust engineering sprints.
Agile Engineering + Evidence
A
STAGE 04
Assurance & Launch
End-to-end integration stress tests, SLA verification, and production handoff.
Quality + Reliability Readiness
Continuous Improvement
Loop - Continuous Improvement (Post-Launch Optimization)
Post-launch telemetry optimization, real-world metric evaluation, and continuous fine-tuning.
How We Measure Success.
CORE DISCIPLINE
We measure engagements, not effort.
Before development begins, we define what success looks like – speed, reliability, automation, adoption, or operational efficiency. Progress is measured against agreed KPIs throughout the engagement, not against hours or activity.
CASE IN POINT • FINTECH
Tight Runway Execution
One client needed a product live on a tight runway. We shipped it inside that window, with reliability and performance gains that held up after launch – not just on demo day.
WEEKLY CADENCE
How we stay accountable
Weekly KPI check-ins with your core team, structured around clear decision points, so you're never waiting until the end of a quarter to find out if something's off track.
What We Build
Software built for the industry it lives in.
The right architecture for a payments platform isn't the right architecture for a SaaS product or an imaging pipeline. We adjust our technical approach - and our compliance posture - to match.
SaaS
Multi-tenant SaaS platforms designed to scale cleanly from early users to enterprise growth.
AI/ML & Imaging
Computer vision, machine learning, and imaging pipelines evaluated against real-world operating conditions, not just lab benchmarks.
Robotics & Warehouse Automation
Warehouse Control Systems (WCS) that orchestrate robots, conveyors, and Automated Storage and Retrieval Systems (AS/RS) engineered for real-time coordination on the floor, not just uptime on paper.
Specialized Engineering Capabilities.
Deep expertise where the operational stakes are highest.
Three practice areas where we've built repeatable product and service development playbooks, not one-off solutions.
Engineering for fintech, SaaS, AI and automation, connected devices, modernized platforms, and warehouse operations.
PRACTICE AREA 01
Fintech
Payment, lending, and transactional platforms engineered for security, traceability, and auditability.
PRACTICE AREA 02
SaaS
Multi-tenant SaaS platforms designed to scale cleanly from early users to enterprise growth.
PRACTICE AREA 03
AI & Automation
Computer vision, machine learning, imaging pipelines, and intelligent automation evaluated against real-world operating conditions.
PRACTICE AREA 04
IoT Software Development
Firmware, data ingestion, and dashboards that turn a fleet of connected devices into real-time decisions you can act on.
PRACTICE AREA 05
Legacy Modernization
We rebuild ageing systems into secure, cloud-native platforms that are ready for AI – without forcing a shutdown while we do it.
We rebuild aging systems into secure, cloud-native platforms that are ready for AI - without forcing a shutdown while we do it.
PRACTICE AREA 06
Robotics & Warehouse Software Solutions
Warehouse Control Systems (WCS) connect WMS and ERP platforms with conveyors, robots, sorters, and Automated Storage and Retrieval Systems (AS/RS), enabling real-time coordination across warehouse operations.
A Warehouse Control System that acts as the intelligence layer between your business systems - WMS, ERP, and the physical equipment on your floor: conveyors, robots, sorters, and more- tied into one connected system.
AI-Assisted Delivery.
Faster with AI. Always backed by engineers.
AI accelerates our engineering workflow – from coding and testing to security, documentation, and modernization.
code
AI-assisted coding
Accelerate development while keeping engineering judgment in the loop.
security
Automated review & security
Code, dependencies, secrets, and vulnerabilities are continuously checked.
biotech
AI-assisted testing
Tests evolve alongside the code to keep quality from falling behind delivery.
construction
Safer modernization
AI helps identify refactoring and migration paths; engineers make the final call.
Every change signed off by an engineer.
We never ship hallucinated code or black-box logic. Machine-accelerated velocity is perpetually constrained by senior engineering accountability.
Every pull request reviewed before merge
Every commit scanned
Test coverage kept high
Why Businesses Choose DotProduct.
Engineering, not just execution.
radar
Outcome-driven
Every engagement starts with measurable business and technical goals.
sync_saved_locally
Full lifecycle
Discovery, design, engineering, launch, and post-production improvement stay connected.
developer_board
AI-native thinking
AI is considered at the architecture and product level - not added as an afterthought.
groups
Built alongside your team
Senior engineers work collaboratively with internal teams instead of operating as a black box.
FOUNDATIONAL PRINCIPLE
“We’d rather be judged by what we build and ship than what we say.”
Have a product to build or modernize?
We build, test, and ship digital products, with a focus on AI-powered solutions while offering support that is geared towards business results.
Let's turn the idea, roadmap, or legacy system into a clear execution plan – with the technology, KPIs, and engineering path to get it into production.