Cosine
Specialist coding models built for secure, sovereign environments
- Category
- Coding & Development
- Pricing
- Starter $19/month (4M credits, $6.50 per 1M add-on); Team $199/month (47M credits, $5.00 per 1M add-on); Enterprise $999/month (240M credits, $4.50 per 1M add-on); custom pricing for private/air-gapped deployments.
- Best for
- Cosine is best suited to large, regulated organizations -- banks, defense contractors, telecoms, and government-adjacent enterprises -- that need a coding agent capable of running inside their own secure or air-gapped infrastructure, especially those maintaining legacy or niche-language codebases.
- Official site
- cosine.sh
- Last updated
- August 2026
Cosine is a London-based AI company that originally rose to attention with Genie, an autonomous AI software engineer positioned as being able to solve bugs, build new features, and refactor code either fully autonomously or in collaboration with a human developer, with the company claiming it emulated human engineering reasoning rather than just pattern-matching code completions. Genie 2, released in 2025, added more agentic workflows such as reading a Jira ticket, writing the code, running tests, and opening a pull request, and the product posted competitive scores on the SWE-bench coding benchmark that drew comparisons to Cognition's Devin. Through 2026, however, Cosine repositioned itself entirely: it retired the Genie brand and shipped the Lumen model family (Scout, Outpost, and the upcoming Sovereign) in its place, alongside a new company tagline, 'The Sovereign AI Lab.' The current product surface centers on training specialist code models -- post-trained from open bases like Devstral and Kimi K2.6 -- that are optimized purely for writing exceptional, maintainable software rather than being general-purpose assistants, and on deploying those models inside customers' own secure or air-gapped infrastructure via a terminal-native CLI and a parallel-task Cosine Cloud surface.
Cosine's current go-to-market leans heavily on regulated, security-conscious enterprises: its published customer and partner logos include BAE Systems, HSBC, Lloyds Bank, Telefonica, Leonardo, LSEG, PwC, Deloitte, Fujitsu, Vodafone, and EY, alongside a research partnership with the Alan Turing Institute. This reflects a broader strategic bet that specialist, narrowly-trained coding models deployed inside a customer's own security perimeter will outperform generalist frontier models for teams that cannot send proprietary or classified code to a shared cloud API. The company raised early funding (including a $2.5M round reported in 2024) to build out Genie, and has since expanded its focus to include a 'Red Team' cybersecurity application and explicit air-gapped and sovereign-AI deployment tracks, positioning Cosine less as a general developer-tools startup and more as an infrastructure and model provider for defense, financial services, and other institutions with strict data-residency requirements.
Cosine is best suited to large, regulated organizations -- banks, defense contractors, telecoms, and government-adjacent enterprises -- that need a coding agent capable of running inside their own secure or air-gapped infrastructure, especially those maintaining legacy or niche-language codebases. It is a poor fit for individual developers or small teams who just want an affordable IDE copilot with a large plugin ecosystem and community track record.
Key features
Lumen model family
Three specialist coding models -- Scout (fast, low-cost, on-device), Outpost (high-quality production implementation), and Sovereign (frontier-scale reasoning, coming soon) -- each targeting a different layer of the dev workflow.
Cosine CLI
A terminal-native interface with a local-to-remote execution model, external tool access via MCP, and multi-agent orchestration for complex changes.
Cosine Cloud
Lets teams run multiple coding tasks in parallel and collaborate across engineers, PMs, and stakeholders on large changes in a shared project.
Flexible security posture
Deployable as fully managed public cloud, a managed single-tenant private environment, or fully air-gapped inside a customer's own perimeter.
Niche and legacy language support
Models are post-trained specifically for enterprise and niche languages such as COBOL, Fortran, Verilog, Rust, and complex SQL, beyond mainstream web-stack languages.
Published benchmarking
Cosine publishes its own Niche-Bench, Vibe-Bench, and Slop-Bench results comparing cost-per-successful-task against models like GPT-5.4, Gemini 3.1 Pro, and Kimi K2.6.
Red Team application
A dedicated application built on Lumen models for AI-assisted cybersecurity and red-teaming workflows.
Pricing breakdown
Starter
- 4M credits/month
- $6.50 per 1M add-on credits
- For solo developers and side projects
Team
- 47M credits/month
- $5.00 per 1M add-on credits
- For growing teams shipping at scale
Enterprise
- 240M credits/month
- $4.50 per 1M add-on credits
- For highly-regulated industries prioritizing data privacy
Custom / Air-gapped
- Managed single-tenant or fully air-gapped deployment
- Tailored infrastructure, support and security terms
Pros and cons
Pros
- Cosine has secured a notable roster of large regulated enterprise customers (BAE Systems, HSBC, Lloyds, Deloitte, EY, Vodafone), suggesting real traction with buyers who have strict security and compliance requirements.
- The specialist-model thesis -- training on real production code rather than general web text -- is aimed directly at reducing generic, low-quality 'AI slop' output that plagues many general-purpose coding assistants.
- Deployment flexibility from public cloud all the way to fully air-gapped is a genuine differentiator versus most AI coding tools that are cloud-API-only, making it viable for defense and financial-services buyers.
- The company publishes its own benchmark methodology and cost-per-successful-task comparisons against major frontier models, offering more transparency than vendors who only cite marketing claims.
- Support for niche and legacy languages (COBOL, Fortran, Verilog) addresses a real gap, since most mainstream copilots are heavily optimized for JavaScript/Python and perform noticeably worse on legacy enterprise codebases.
Cons
- The 2026 rebrand from Genie to the Lumen model family and 'Sovereign AI Lab' positioning represents a significant product and messaging pivot, which can be disorienting for anyone evaluating the company based on older Genie coverage or benchmark claims.
- Credit-based consumption pricing (used across all tiers) makes monthly cost less predictable than flat per-seat pricing, particularly for teams running many parallel or long-running agent tasks.
- Pricing tiers jump sharply from $19 to $199 to $999 per month, with limited middle ground for small teams that have outgrown solo use but aren't yet an enterprise buyer.
- As of 2026, Cosine has essentially no reviews on G2, Capterra, or similar platforms, so claims about productivity gains rely mostly on vendor case studies and blog posts rather than independently verifiable user feedback.
- The current positioning is heavily enterprise/security-first, meaning individual developers or small startups without air-gapped requirements may find the pricing and deployment options more complex than they need.
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Compare →Frequently asked questions
What happened to Cosine's Genie AI coding agent?
Genie has been retired; in 2026 Cosine replaced it with the Lumen model family (Scout, Outpost, and the upcoming Sovereign), reflecting a shift toward specialist, security-focused coding models.
Can Cosine run fully offline or air-gapped?
Yes, Cosine offers fully air-gapped deployment for organizations that need the models to run entirely inside their own security perimeter, in addition to public cloud and managed single-tenant options.
How is Cosine priced?
Pricing is credit-based per seat: Starter is $19/month with 4M credits, Team is $199/month with 47M credits, and Enterprise is $999/month with 240M credits, plus add-on credit purchases.
What programming languages does Cosine support best?
Cosine specifically post-trains its models on niche and legacy languages such as COBOL, Fortran, Verilog and Rust, alongside mainstream languages, aiming to outperform generalist models on legacy enterprise codebases.
How do I access Cosine's models?
Through a terminal-native CLI (with MCP tool access) or through Cosine Cloud, which lets teams run and collaborate on multiple coding tasks in parallel.
Who are Cosine's typical customers?
Large regulated enterprises including financial services (HSBC, Lloyds, LSEG), defense (BAE Systems, Leonardo), and professional services firms (Deloitte, EY, PwC), reflecting its focus on secure, compliance-heavy environments.
Ready to try Cosine?
Head to the official site to explore pricing and start a free trial where available.
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