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INGENII & DEEPSCIENCE PROVIDE A QUANTUM LEAP IN CLIMATE C...
EIN Presswire
·
Jul 7, 2022
Logo A meaningful collaboration to accelerate sustainability efforts Quantum computing has the potential to transform the...
Problem
Classical computing is hitting limitations...
Data engineering is complicated and expensive
It takes months to build and deploy internal data science infrastructure which means expensive development costs
A lot of internally developed infrastructure and/or research projects fail
Building internal teams can be prohibitively expensive and there is a shortage of data science and quantum talent
Quantum integration and engineering will be challenging & time consuming
There is a limited data and quantum engineering talent pool
Solution
Quantum will elevate life and environmental sciences like never before
Quantum’s innate processing tackles exponentially harder problems with ease which far exceeds classical computing capabilities.
This results in massive improvements across the models used within life and environmental sciences:
Because we leverage heavy automation and infrastructure as code, we bring significant time and cost savings to our customers:
99% time savings to deploy data platform
98% cost savings annually on data science labor
92% cost savings on data platform set up labor
99% costs savings on data engineering maintenance
Product
Ingenii Data
Engineering Platform
Accelerating classical & quantum data engineering
—
The GitHub of quantum algorithms
meets quantum Databricks
Ingenii is a hybrid data engineering platform that provides seamless access to quantum computation, building on the full stack quantum providers.
Features include:
Data engineering automation
Turnkey quantum enabled workspaces
Marketplace of abstracted quantum algorithms
—
How we build on the quantum & data technology stack:
Traction
$60k ARR from paid subscribers
Commercialized data engineering platform
—
Roadmaps & timelines
Aligning our development with IBM Quantum roadmap
IBM has been very transparent about their development timelines and have consistently hit their milestones. We use this as a benchmark to determine rough timelines for peak market adoption for quantum computing.
Customers
Transforming data
across industries
- 3 paid subscribers on the Data Engineering Platform
- 8 pilot users onboarding onto the quantum workspaces
- 3 quantum algorithm projects in progress
Quantum algorithm projects in progress
3D molecular drug discovery
Problem: Drug discovery is a long process. Machine learning has shown promise to speed up how different compounds interact with targets, but has not been sufficiently game-changing.
Our solution:
Quantum Convolutional Neural Network (CNN) machine learning has shown speed and accuracy improvements over regular machine learning
Build a quantum 3D-CNN machine learning algorithm to accelerate drug discovery process
Improve success rate in translation to patients
Transforming drug discovery from a slow, high-failure process into a rapid, patient-centric model
—
Climate change optimization
Problem: The complexity and sheer volume of parameters make scaling impossible if using classical optimization models to cover the impact climate services & investments have on a global scale.
Our solution:
- Map the customer’s quantum annealing optimization model into Azure
- Design the quantum circuit and implement the Python code for it using Qiskit
- Demonstrate that the quantum algorithm can scale with additional cities & regions
- Integrate the quantum algorithm into Python data analytics library
Business model
Subscription-based model with high margins
90% profit margin as a result
of infrastructure as code.
Classical subscription average is $80k
Classical + Quantum subscription average is $200k
Classical customers have an easy path to upgrade:
Quantum python integration
Quantum workspaces within Ingenii UI
Classical vs Quantum Subscriptions
Market
$45B global serviceable market across life & environmental sciences
Modular subscriptions across classical and quantum de-risk the reliance on the quantum hardware maturity
Includes pharma, biotech, healthcare, chemicals & sustainable energy
Future opportunity to scale into broader industries such as manufacturing, agriculture and financial services.
Serviceable market by industry
We see a lot of overlap in solutions across healthcare, pharma, chemicals and sustainability;
Starting in life & environmental sciences and will scale into broader industries as quantum advantage realizes across those applications;
Additional $46B opportunity across global manufacturing and agriculture.
Competition
Ingenii
is the only quantum software
aimed at solving core engineering challenges.
Vision and strategy
Why its important
to think of us as an engineering accelerator,
rather than just quantum software.
—
Funding
Validated through funding
- Funded to-date through client engagements and early investors.
- Closed $115k in investment in 2022 from White Shark Management and an angel investor from Columbia University
Founders
Experienced
technology founders
The Ingenii founders spent the last five years together successfully rolling out public cloud technologies across the alternative investment space, and have extensive experience with data technologies and solutions in financial services. Together, the Ingenii team will continue to challenge, automate, and disrupt the data landscape through the integration of quantum technology.
