Skymel
By SkymelSkymel builds AI infrastructure for the enterprise. Our flagship platform, LEGATO, automates the massive engineering bottleneck of moving AI agents into production by generating, auto-testing, and deploying deterministic Agentic Workflows that combine the precision of code with the reasoning power of an LLM.
- Stage
- In pilot
- Industries
- Technology
- Deployment
- Hybrid
Why it is worth it
Unlike standard "loop agents" that unpredictably guess their next steps at runtime—leading to hallucinations and spiraling token costs—LEGATO is a fully deterministic, plan-first platform. Our core differentiator is our Dual-Layer Autonomous Debugging engine. LEGATO acts as a virtual senior engineer: it drafts the workflow architecture, tests it against live data, and autonomously rewrites both node-level errors and deeper plan-level logic flaws until every test passes. Once hardened, the workflow is frozen and deployed as a version-locked, cost-capped websocket API. By explicitly routing tasks to cheap, deterministic code wherever possible and reserving LLMs strictly for reasoning, we compress weeks of manual backend engineering into minutes.
Enterprises are realizing that standard, reactive "loop agents" are fundamentally unfit for production due to high hallucination risks, unpredictable behavior, and spiraling token costs. To achieve reliable results, teams must transition to highly controlled "Agentic Workflows." However, manually coding, sequencing, and stress-testing the backend logic to build just one reliable workflow requires thousands of engineering hours—creating a massive deployment bottleneck. LEGATO solves this by acting as a fast-forward button, fully automating the planning, testing, and hardening phases so teams can deploy robust workflows in hours instead of weeks.
Opening the deck…
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Best customer profile
- Our ideal customer is a technical or operational leader at a mid-market to enterprise company (100–5,000+ employees) who is currently bottlenecked by the massive engineering effort required to deploy reliable, multi-step AI automations.
- Target Roles: CTO, VP of Engineering, Head of AI, Lead Software Architects, and Operations Leaders (RevOps, DataOps).
- Target Industries: Technology / Software, Financial Services, Market Research, and Legal & Professional Services.
- Key Pain Points:
- "Prototype Purgatory": They can easily build a fragile AI prototype using standard tools, but making it robust enough for production requires thousands of hours of manual coding, edge-case testing, and backend logic sequencing.
- Unpredictability & Cost: They are frustrated by the inherent unpredictability, hallucination risks, and spiraling token costs associated with standard "loop agents."
- Lack of Determinism: They operate in environments that require auditable, deterministic, and highly controlled data extraction and reasoning, rather than reactive AI guesswork.
Notable paying customers
- A few well Known Enterprises, can reveal later in the process, as we are still bound by NDA
Funding: Secured $525,000 in Seed funding to accelerate enterprise go-to-market and infrastructure scaling. Product Launch: Successfully launched LEGATO v1.0, featuring our proprietary Dual-Layer Autonomous Debugging engine capable of autonomous, on-the-fly logic rewriting. Enterprise Infrastructure: Established comprehensive deployment architectures tailored for the enterprise, including Skymel Cloud, Private Cloud, and fully air-gapped On-Premise environments for strict data compliance. Market Traction: Initiated successful early-adopter Proof of Concepts (PoCs) with mid-market and enterprise engineering teams across the Technology, Finance, and Operations sectors (anonymized pending public case studies