Intelligent Software Development on Demand
Invector Labs combines artificial intelligence with a high-end talent network of computer scientists and engineers to reimagine software development on demand for enterprises and startups.
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Why Invector Labs
The emergence of technologies such as artificial intelligence and blockchain, as well as the proliferation of global, freelance talent has challenged the traditional agency model for software development on-demand. Invector Labs is a new platform for a new era in software development with very tangible benefits over traditional approaches.
|Facts to Consider||Traditional Consulting Firms||Freelance Marketplaces|
|Engineering Talent||Constrained to the firm’s resources||Unvetted freelancers||Highly curated network of computer scientists and engineers|
|Team Composition||Whoever is available||Whoever you can find||Specialized teams of experts assembled by AI processes|
|Focus||Constrained to the firm’s expertise||Mostly web and mobile development||Groups of labs focused on emerging enterprise software areas such as artificial intelligence, blockchain technologies, advanced cloud computing, and several others.|
|Pricing||As much as they can bill||Hourly rate per engineer||Fixed price, scientifically calculated based on the characteristics of the project and team|
|What do you pay for?||Everything||Everything||Reusable code and AI models from other projects|
|Project Management||Depends on the firm||You are responsible for managing the project||Sophisticated project management methodology|
|After Deployment||You are on your own||You are on your own||Offer devops solutions to maintain and monitor your solution|
Hire the best data scientists, apply the latest AI research and technologies to your software solution.
Build decentralized architectures using blockchain and distributed ledger technologies.
Advanced Cloud Computing
Hire engineers that have built cloud-first solutions at scale.
Decentralizing AI: Dreamers vs. Pragmatists
The decentralization of artificial intelligence(AI) is one of the most fascinating technology trends of the moment and one that can become…
2019.05.23 / 7min read. Read More
Decentralized AI for the Rest of US
I’ve been working on a new series of papers on decentralized AI and decided to edit and series I published early last year.
2019.05.22 / 6min read. Read More
Four Ideas to Enable Disclosures for Security Tokens
Disclosures continues to be one of the existential challenges to the security token industry. In a market without any information about…
2019.05.21 / 5min read. Read More
Using Bayesian Games to Address the Exploration-Exploitation Dilemma in Deep Learning Systems
Artificial intelligence(AI) agents often operate in environments with partial or incomplete information. In those settings, agents are…
2019.05.20 / 5min read. Read More
Last Week in AI
Every week, my team at Invector Labs publishes a newsletter to track the most recent developments in AI research and technology. You can…
2019.05.19 / 3min read. Read More
Blockchains, Networks, Protocols or Fantasies in Security Tokens Part II: Consensus, Identity and…
This is the second part of an essay that explores the thesis of a tier1 blockchain specialized in security tokens. In the first part, we…
2019.05.17 / 6min read. Read More
Aries and ION: Two Different Perspectives of Decentralized Identity in Blockchain Applications
Identity is one of the key foundational elements of blockchain applications. In an ecosystem that has its basics on trustless, anonymous…
2019.05.16 / 4min read. Read More
IBM’s Quest to Solve the Continual Learning Problem and Build Neural Networks Without Amnesia
I often joke that neural networks suffers from a continuous amnesia problem in the sense that they every time they are retrained they lost…
2019.05.15 / 6min read. Read More
Blockchains, Networks, Protocols or Fantasies in Security Tokens: Part I
Yesterday, during the first day of Consensus NYC, Polymath announced their intentions to work on a tier1 blockchain for digital securities…
2019.05.14 / 4min read. Read More
How the Lottery Ticket Hypothesis is Challenging Everything we Knew About Training Neural Networks
Training machine learning models is one of the most challenging and computationally expensive aspects of data science solutions in the…
2019.05.13 / 5min read. Read More