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Description
Mercor serves as a platform designed to assist professionals in securing remote job opportunities by streamlining the application and matching processes. Users simply upload their resumes and outline their preferred projects, after which Mercor employs artificial intelligence to identify suitable roles, enabling a single application to connect with multiple companies. Notable features include listings for remote work, an AI-powered interview scheduling system, accessibility to global opportunities (allowing candidates to apply and interview from anywhere), and a carefully curated assortment of job roles like “expert model trainer” and “legal intelligence analyst.” The platform offers numerous advantages for candidates, including enhanced salary prospects, minimized job search time, and increased visibility to various employers; simultaneously, it benefits employers by providing access to well-suited candidates through intelligent AI matching. Furthermore, Mercor's innovative approach fosters a more efficient hiring process, ultimately bridging the gap between talented professionals and dynamic companies seeking top-notch talent.
Description
SWE-1.7 is Cognition’s most capable software engineering model, built to push frontier coding performance while reducing the cost of high-quality agentic rollouts. The model is designed for real-world software development tasks that require extended reasoning, codebase understanding, terminal use, debugging, feature work, migrations, and careful validation. It was trained from a Kimi K2.7 base and improved through Cognition’s reinforcement learning pipeline, including more stable training, stronger infrastructure, better data curation, and long-horizon task techniques. SWE-1.7 is especially optimized for asynchronous software engineering, where an agent needs to work through large projects over longer sessions instead of simply answering short prompts. Its self-compaction capabilities allow the model to summarize its working state and resume from that summary, helping it operate beyond the raw context window on multi-hour tasks. The model is also trained to balance task success with efficiency, using concise reasoning when possible while preserving deeper exploration for harder problems. SWE-1.7 tends to investigate codebases more thoroughly than its base model, reading files, running searches, probing edge cases, and experimenting before making changes. It is available in Devin through web, desktop, and CLI interfaces, with Cerebras serving support at 1000 TPS. SWE-1.7 gives developers and engineering teams a high-performance coding model for complex software projects at a more practical cost.
API Access
Has API
API Access
Has API
Integrations
C#
CSS
Cerebras
Dart
Devin
Go
JSON
JavaScript
Kubernetes
Lua
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$20/month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Mercor
Founded
2023
Country
United States
Website
mercor.com
Vendor Details
Company Name
Cognition
Founded
2023
Country
United States
Website
cognition.com
Product Features
Recruiting
Assessments
Background Screening
CRM
Interaction Tracking
Internal HR
Interview Management
Job Board Posting
Job Requisition
Onboarding
Recruiting Firms
Reference Checking
Resume Parsing
Self Service Portal