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Readiness you can verify — not promise

Know who's ready. Not who finished.

Learnlytica replaces completion reports with readiness evidence. Learners practice on real cloud labs, get graded automatically, and earn a verifiable Skill Passport — so you see exactly who can perform before they're on a project.

Lab-first learning Auto-graded & proctored Readiness, not attendance
Learnlytica stakeholder reports: 15 learners, 41% average completion, 86.6% average score, 12 at risk, daily completions chart and a needs-attention panel
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Readiness verified
SKILL PASSPORT
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Courses across cloud, AI/ML, DevOps & data
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Role-based tracks, executive to engineer
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Cloud providers with governed sandbox labs
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Training hours across the full catalog
01 / The platformProof of capability

Evidence at every step —
not a completion bar.

Readiness evidence

Every learner earns a Skill Passport — not a certificate

Bloom's cognitive heatmap, competency scores across 80+ skills, proficiency levels and full attempt history. This is what “proof of capability” actually looks like — granular, auditable and tied to real lab performance.

Skill Passport: 100 passport score, 84 competencies, 75% average proficiency and a Bloom's cognitive heatmap
Course player: Dimensional Modeling deep dive, Week 2 Day 2, with structured modules

Structured learning

Courses built for depth, not just completion

Each course follows a structured weekly plan — slides, quizzes, hands-on labs, coding challenges and assessments woven together. Learners don't just watch; they build, get tested and prove competency at every step.

In collaboration with c2cedge

One readiness signal, across the whole journey.

Learnlytica powers c2cedge — a distinct venture that turns hiring, training and deployment into one continuous, auditable readiness signal. Five products on a shared spine: model the role, diagnose the gap, close it, prove it, and place on evidence — then calibrate the cut-off against who actually performed. Each stands alone; the value for an enterprise is that together they close the loop, with nothing re-tested and no context lost.

02 / The synergyOne signal, end to end

Five products. One continuous signal.

For an enterprise, the value isn't any single tool — it's that hiring, training and deployment finally run on the same evidence. Here is how the suite compounds into a readiness signal you can defend to a CFO.

01
Demand · Outreach

Start from the role, not the résumé

Paste a live job description and get a weighted readiness blueprint — the exact skills, at the depth the role actually demands. Every signal downstream is measured against this, so you're never assessing in the abstract.

02
Diagnose · Eval

Turn the gap into one number

Adaptive, proctored assessment resolves each candidate or cohort into a verifiable readiness score against that blueprint — not attendance, not a completion bar. You see who can perform before anyone is on a project.

03
Skill · Learn

Close the gap at scale

Governed cloud labs and structured tracks target exactly what the diagnostic named — 1,000+ concurrent learners, spend capped and attributed per batch. The same profile updates as people improve, so progress is measured, not assumed.

04
Prove · Build

Demand proof, not multiple choice

Capstones and hackathons with AI code review capture how a person actually ships — correctness, code quality, architecture, deployment. The signal no test can reach, written back to the same passport.

05
Place · SkillForge

Deploy on evidence — then check yourself

A think-aloud technical screen produces a per-role deployability score with a tuned cut-off. Feed on-the-job outcomes back in and the cut-off calibrates — so “ready” keeps meaning ready, quarter after quarter.

The synergy: every product reads from and writes to the same readiness profile. Nothing is re-tested and no context is lost between hire, train and deploy — and because the whole loop is one auditable signal, you can prove the ROI of readiness instead of asserting it. That is what no point solution stitched together can give you.

03 / Built for the ROI eraCost · Proof · Deployability

Readiness that survives a budget review.

The market moved from flat-rate AI to token-metered AI, and from hiring freshers to hiring the already-deployable. The platform is built for exactly that: govern the spend, prove the capability, and defend the ROI when leadership asks.

Govern the spend

Every AI dollar, capped

Train on GenAI and Copilot without the token bill spiralling — licenses shared across batches (a $10 seat becomes ~$2 a head), per-learner budget caps, token & duration guardrails, and domain-locked prompts. All inside a sandbox where your code never leaks to a public model.

Prove the capability

Forensic proof, not “it runs”

Anyone can pass a test with code that executes. We go further — forensic evaluation checks the model actually clears the accuracy bar you set. A green test on a low-accuracy model still fails. That's the line between a Python coder and an AI engineer.

Defend the ROI

Deploy-ready, not fresher-raw

Hire and deploy on a proven readiness index, then calibrate it against on-the-job outcomes. When the board asks “human or AI — and is it worth it?”, you answer with evidence, not a headcount guess.

“Know who's ready — not who finished.
The principle behind every signal

A weekly dispatch for L&D leaders

Industry signals, measurement playbooks, and one uncomfortable truth per issue. Read by training heads at enterprises that measure readiness, not completion.

See your team's readiness gaps
in 30 minutes.

Book a walkthrough. We'll show you the platform with your roles, your tech stack, and real readiness data you can act on.

No commitment. No sales deck. Just the product.

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