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.
Accelerate your projects by collaborating with the best tech freelancers right now.
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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.
One Language Model to Rule Them All
OpenAI Masters Many Natural Language Tasks with a Single Unsupervised Model
2019.02.15 / 6min read. Read More
The Security Token Anthology: January 2019 Edition
Another month and is time to release another edition of the Security Token Anthology which compiles some of my recent articles about…
2019.02.14 / 6min read. Read More
Introducing Uber’s Ludwig
A New Toolbox for Training Deep Learning Models Without Writing Any Code
2019.02.13 / 5min read. Read More
Against Security Token Purism
This is not my typical article about security tokens. Normally, I prefer to focus on technological topics because is where I feel I can…
2019.02.12 / 5min read. Read More
Machine Learning for Detecting Code Bugs
How Facebook’s Project Infer Identifies Bugs in Mobile Apps Before Deployment
2019.02.11 / 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…
2019.02.10 / 3min read. Read More
The Know-Your-Oracle Thesis: Some Thoughts About Oracles in Security Tokens
Access to off-chain data sources is one of the perennial challenges of blockchain applications. Oracles are the component of blockchain…
2019.02.07 / 5min read. Read More
Four Healthy Frictions Will Guide the Future of Security Tokens
Security tokens is a very young industry and is still trying to find its core identity. The early days of any groundbreaking technology…
2019.02.05 / 6min read. Read More