C

CodeSignal

AI-native skills platform for technical hiring

Overview

CodeSignal provides an AI-native platform for assessing and developing technical talent, primarily for B2B customers. It offers tools to pre-screen, screen, and interview candidates, plus upskilling through CodeSignal Learn. The platform uses data-driven, real-world simulations and a standardized coding score to evaluate developer abilities, aiming to reduce hiring bias and save engineering time. It differentiates itself with features like Cosmo, an AI assistant that creates assessments and offers tutoring, and a focus on objective, skills-based hiring beyond resumes. The goal is to help companies hire more effectively, diversify their engineering pipelines, and support talent mobility by providing consistent, automatable evaluations for technical roles.

Significant Headcount Growth

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About CodeSignal

Simplify's Rating
Why CodeSignal is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & AnalyticsEnterprise SoftwareAI & Machine Learning

Company Size

51-200

Company Stage

Series C

Total Funding

$87.5M

Headquarters

San Francisco, CA

Founded

2015

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What believers are saying

  • October 28, 2026 Agentic Skills Intelligence expands CodeSignal beyond hiring into workforce planning.
  • October 14, 2026 FedRAMP Marketplace listing opens U.S. federal hiring and training budgets.
  • September 22, 2026 edX partnership places 400 practice-based courses before millions of learners.

What critics are saying

  • Assessment fraud surged in 2025, forcing a costly detection arms race.
  • Microsoft, LinkedIn, and Workday can bundle native skills graphs by 2027.
  • If enterprise buyers choose AI copilots over point solutions, CodeSignal’s screening seat shrinks.

What makes CodeSignal unique

  • CodeSignal validates real work in GitHub, Salesforce, Gong, and Google Workspace.
  • Its 21 million assessments create a durable skills-science moat.
  • Cosmo unifies assessment, coaching, and personalized practice across hiring and learning.

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Funding

Total Funding

$87.5M

Below

Industry Average

Funded Over

4 Rounds

Series C funding is usually for startups that are doing well and are looking for more money to fuel major growth, such as acquiring other companies, expanding into global markets, or launching new product lines. Investors typically include larger venture capital firms and private equity.
Series C Funding Comparison
Meet Average

Industry standards

$50M
$50M
$50M
$62M
$100M

Benefits

  • Remote-first
  • Diverse, international team
  • Team activity fund
  • Comprehensive health plans
  • Flexible PTO
  • Learning and development

Growth & Insights and Company News

6 month growth

13%

1 year growth

15%

2 year growth

15%
PR Newswire
Nov 10th, 2026
CodeSignal powers Josh Bersin Company's HR certification with scenario-based assessments

CodeSignal now runs the assessments for The Josh Bersin Company's Global HR Excellence Certification. The San Francisco-based skills platform designed the scenario-based tests, which ask HR leaders to diagnose business problems, recommend action, and explain their reasoning. The 12-week program, offered with USC Marshall Executive Education, covers 10 HR domains. It ends with a timed, proctored assessment built around four scenarios: HR strategy, responsible use of data and AI, work redesign, and talent quality. In one scenario, participants play a senior HR leader facing a merger or technology rollout, then defend their plan to an AI role-play counterpart. Responses are scored against a detailed rubric. "Too many professional certifications measure completion, not capability," said Josh Bersin, chief executive officer of The Josh Bersin Company.

PR Newswire
Nov 9th, 2026
TalentNeuron and CodeSignal expand partnership to offer the most comprehensive skills intelligence in the market.

TalentNeuron and CodeSignal expand partnership to offer the most comprehensive skills intelligence in the market. Nov 09, 2026, 08:47 ET Partnership combines market and competitor insights with validated skills measured from employees' real work to power build, buy, borrow, and bot workforce decisions NEW YORK, Nov. 9, 2026 /PRNewswire/ - TalentNeuron, the workforce intelligence and planning company used by 60% of the Fortune 100, today announced an expanded partnership with CodeSignal, the agentic skills intelligence platform. Together, the two companies offer the most comprehensive skills intelligence available to employers: the skills that exist in the labor market and among competitors, the skills an organization's people have, and objective validation of how well they apply them. Organizations can use that intelligence to identify skills gaps in their current and future workforce, and then act to close them. AI is reshaping the tasks inside many roles, and skill requirements shift from quarter to quarter, yet most workforce plans still run on an annual cycle and rely on skills data employees report themselves, which is often inaccurate or out of date. Decisions made on that basis are hard to defend. Skills intelligence at every level TalentNeuron's skills intelligence is built into its data architecture and surfaces wherever workforce planning happens. Across the labor market, it shows how skills are evolving and trending, which skills are adjacent to one another, and the top skills for each role and industry. It also shows which skills business and talent competitors are hiring for, by role and location, how that has changed over time, and how those competitors define the skill expectations of each role. Inside the organization, TalentNeuron shows which skills in a company's own job architecture are rising or falling in demand, maps them against nearly 4,000 normalized market roles, and flags emerging market skills that are missing from internal role definitions. It builds a skills profile for each employee from CVs and LinkedIn profiles, extends it through skills adjacency, and supports manager validation of those skills. CodeSignal adds evidence of how well employees apply skills on the job. Its agents evaluate the real work employees produce in the tools they already use, such as GitHub, Salesforce, and Gong, against structured rubrics grounded in industrial-organizational psychology. The approach builds on the skills science behind more than 21 million skill evaluations completed on CodeSignal. This creates living skills profiles that update as people demonstrate their skills. When gaps emerge, Cosmo, CodeSignal's AI coach, builds tailored practice based on each person's work to help them improve. Leaders can use that evidence alongside TalentNeuron's market and competitor insights to understand where workforce capabilities meet business needs and where to invest next. From skills gaps to decisions With that intelligence, organizations can see the skills gaps in their current workforce, by location, talent segment or other workforce variables, and project the gaps they will face over a multi-year planning horizon based on the skills their strategy requires. Those gaps then drive the choice of how to close them: build, buy, borrow or bot. Measured skills help leaders identify which capabilities to develop and where employees could move into new opportunities. Cosmo, CodeSignal's AI coach, supports that development with contextualized practice and coaching tailored to the skills each person needs to strengthen. TalentNeuron's labor market intelligence shows where, what and when to hire, with continuously updated data on talent supply, cost, demand and competitor hiring. TalentNeuron also shows which tasks are exposed to automation, informing bot and borrow decisions. "Skills intelligence is built into the foundation of everything we do, and it shows up wherever our customers make workforce planning decisions. With the addition of objective validation from CodeSignal, our customers now have the most complete view of skills available anywhere," said David Wilkins, CEO of TalentNeuron. "Even as automation grows, build and buy are still the two biggest decisions every organization makes. CodeSignal's validated skills tell you when to build, who to develop, and how. TalentNeuron's labor market intelligence tells you where, what, and when to buy. Between us, leaders now have access to an unassailable data set." "Leaders need to know who can take on the work ahead and who could get there with the right support," said Tigran Sloyan, CEO and co-founder of CodeSignal. "CodeSignal measures what employees can do from the work they already produce, then helps them build the skills they need next. Alongside TalentNeuron's market intelligence, that gives organizations a stronger basis for making strategic workforce planning decisions." Availability The expanded partnership is available today. TalentNeuron and CodeSignal customers can start using the two companies' capabilities together immediately by contacting their account team. See it at TalentNeuron Live The expanded CodeSignal partnership will be part of the agenda at TalentNeuron Live on Nov. 18, where David Wilkins and Tigran Sloyan will discuss the current state of skills intelligence and strategic workforce planning. Register here. About TalentNeuron TalentNeuron is the only solution that drives workforce transformation by unifying internal talent intelligence and external market insight. Over 60% of the Fortune100 are using TalentNeuron to move beyond fragmented talent planning and toward a model where strategic workforce decisions are made through comprehensive analytics, including demand forecasting, automation impact analysis, scenario modeling, and talent optimization. Powered by advanced AI and machine learning, TalentNeuron delivers real-time workforce intelligence across markets representing over 96% of global GDP. With this intelligence, organizations use TalentNeuron to understand labor market and competitor trends, identify current and future skill requirements and gaps, and shape a future-ready workforce. About CodeSignal CodeSignal helps companies build the skills to succeed now, and adapt as the future of work changes. It's the agentic skills intelligence platform, built on a simple belief: the biggest decisions about people should rely on proof, not proxies. For years, talent has been judged by resumes, titles, self-ratings, and inferred data, sources that only hint at what someone can really do. CodeSignal measures real skills through rigorous simulation-based assessments and in-depth evaluation of people's actual work. CodeSignal spans the full talent journey, from hiring assessments and AI interviews to hands-on skills development and workforce planning. With skills intelligence that measures work as it happens, leaders see where their teams stand, what to coach next, and where to plan ahead. It's why companies like Capital One, Meta, and Dropbox, along with millions of people building their own skills, have made CodeSignal the standard for measuring what's real. SOURCE TalentNeuron

CodeSignal
Oct 28th, 2026
CodeSignal's new Agentic Skills Intelligence validates employee skills from the work they actually do.

CodeSignal's new Agentic Skills Intelligence validates employee skills from the work they actually do. As six in 10 managers say they make critical talent decisions based on guesswork, new capabilities validate skills from the work employees already do, not inferred data, then help close gaps with personalized practice and coaching SAN FRANCISCO, Oct. 28, 2026 /PRNewswire/ - CodeSignal, the leading agentic skills intelligence platform built on more than a decade of assessment science, today announced the general availability of Agentic Skills Intelligence, giving organizations a validated view of skill proficiency across their workforce, and the ability to close skills gaps with contextualized learning practices. Rather than inferring what employees can do from keyword scraping or self-rating, CodeSignal's specialized agents evaluate work from systems employees use every day, such as Gong, Salesforce, GitHub, Cursor, Claude, ChatGPT, Workday, Greenhouse, and Google Workspace. They score that work against structured rubrics grounded in industrial-organizational psychology, the same scientific rigor behind the more than 21 million skill evaluations completed on CodeSignal. The result is a living, validated skills profile for every employee. CodeSignal's Agentic Skills Intelligence gives leaders: * A validated skills profile for every employee, continuously updated from real work rather than performance reviews, self-ratings, or course completions * A clear view of skills gaps in the organization that could impact critical projects and company initiatives * Development that closes those gaps, with contextualized learning practices from Cosmo, CodeSignal's agentic tutor, instead of generic video courses * Real-time insights on how jobs are changing, based on the skills and competencies top performers actually demonstrate in their work, not job descriptions * Defensible ROI and proof of progress, tracking whether skills actually improve so leaders can show the impact of AI and learning investments * Market intelligence on real-time hiring trends, including in-demand skills, top roles, pay bands, and where demand is growing Agentic Skills Intelligence is built to connect with the systems organizations already run, from talent and HR platforms to productivity and learning tools. With CodeSignal's MCP server, teams can also ask questions of their skills and jobs data from the AI assistant of their choice, getting answers without leaving the tools they work in every day. "In the AI era, leaders need to understand not just what skills they can infer their people have, but what people can demonstrate," said Josh Bersin, global industry analyst and CEO of The Josh Bersin Company. "CodeSignal adds evidence of proficiency, how well people apply skills in their work, and connects it to personalized development. That helps leaders make better decisions while giving employees a clear path to grow." Investment without visibility New CodeSignal research shows how wide the gap is between investment and visibility: * Six in 10 managers say they make critical talent decisions based on guesswork * 84% of organizations expanded AI software investments and 79% increased AI training over the past year, yet 79% cannot measure the ROI of that spending * Two-thirds (66%) of employees say their skills have never been formally assessed "Every leader is being asked hard questions about their business right now. Is our AI investment paying off? Do we have the skills to hit our goals? Who's ready to lead the next big project? Too often the answer is a guess based on weak data signals," said Tigran Sloyan, CEO and co-founder of CodeSignal. "We built Agentic Skills Intelligence because the people decisions that matter most deserve real data. Now leaders can practice what I call skillspotting at scale: seeing what their people can actually do, based on the work they're already doing, and giving every employee a clear path to build the skills they need next." Common use cases * AI transformation: Measure whether AI investments are turning into better work. A CEO spending heavily on AI can see not just who is using it, but who is using it well and who needs help getting there. * Upskilling: Scale coaching to every individual to build a higher-performing team. A sales leader can see who has mastered the pitch for a new product, while tailored practice reaches the reps who need it. * Critical initiative resourcing: Find the talent you need to staff business initiatives. An engineering leader can find people with the right skills for an urgent project and pull together a strong group in days instead of weeks. * Strategic planning: Make confident workforce decisions with skills data leaders can trust. A leadership team planning for next year can see where to develop current employees, where to hire, and where AI tools can help teams get more done. About CodeSignal. CodeSignal helps companies build the skills to succeed now, and adapt as the future of work changes. It's the agentic skills intelligence platform, built on a simple belief: the biggest decisions about people should rely on proof, not proxies. For years, talent has been judged by resumes, titles, self-ratings, and inferred data, sources that only hint at what someone can really do. CodeSignal measures real skills through rigorous simulation-based assessments and in-depth evaluation of people's actual work. CodeSignal spans the full talent journey, from hiring assessments and AI interviews to hands-on skills development and workforce planning. With skills intelligence that measures work as it happens, leaders see where their teams stand, what to coach next, and where to plan ahead. It's why companies like Capital One, Meta, and Dropbox, along with millions of people building their own skills, have made CodeSignal the standard for measuring what's real.

Recruiting Headlines
Oct 22nd, 2026
Join talent collective at Beyond 2026.

Join talent collective at Beyond 2026. This post was originally published on this site. We're heading to the St. Regis in San Francisco for Beyond 2026, CodeSignal's one-day conference on AI, skills, and hiring, and we'd love for you to be part of it! Beyond brings together people leaders for a day of actionable playbooks, honest conversation, and real ideas on what's changing with AI and skills strategy, plus a chance to compare notes with other teams facing the same shifts. If you'll be there, come find us. We'd love to connect in person and hear what you're working on.

Recruiting Headlines
Oct 22nd, 2026
Skills based hiring in 2026 & Beyond.

Skills based hiring in 2026 & Beyond. Skills-based hiring has been "the next big thing" for the better part of a decade. But something shifted in 2026. As AI reshapes what jobs actually are - and what they demand - the question of how we define, measure and verify skills has moved from conference talking point to boardroom priority. Jobs that won't sit still require hiring processes that can keep up. Meanwhile, the rise of agentic interviews, new assessment science, and the emergence of "superjobs" and superteams is forcing a fundamental rethink of what we screen for and why. Ahead of CodeSignal's Beyond conference in San Francisco - where Josh Bersin, Kathi Enderes and a lineup of Talent leaders will tackle exactly these questions - we'll get a sneak preview of the ideas set to shape people strategy in the AI era. In this session, we explore where skills-based hiring actually stands in 2026, and what "beyond" really means for the years ahead. This post was originally published on this site.

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