RunSynthia
BuildVelocity AI
TrainAI-native engineers
HireViamagus select

Everything an enterprise needs to become AI-native.

We build the AI that runs your work, the products that move your business, and the engineers who deliver both.

Get Your Shortlist See the four capabilities

ISO 27001 · SOC 2 Type 2 · HIPAA · Claude Partner NetworkBengaluru · Zug · USA

Four capabilities02 / 07

Two ways to put AI to work. Two ways to build the people behind it.

01–02 · Put AI to work

01RunSynthia PlatformGoverned AI, run inside your own SOPs. 02BuildVelocity AIProducts shipped in weeks, not quarters.

03–04 · Build the people behind it

03Train and deployAI-native engineersYour team, AI-native in eight weeks. 04HireViamagus selectVetted AI talent, in forty-eight hours.

Trusted by teams at Nestlé · Coca-Cola · HDFC Life · Titan · ADNOC · Hitachi

Run · Synthia Platform03 / 07

Run your AI inside your own SOPs.

Most companies add AI one tool at a time. Synthia makes your operating procedures the system every AI action runs through: approved by a human where it matters, recorded end to end.

>97%Document extraction accuracy, from live deployments

4×: Faster SOP turnaround
83%: Less analyst time
2 wks: ROI mapped before you commit

FORGE · Five moves, every run

FrameDefine the SOP once: agents, tools, data, approvals and rules, blueprinted before anything runs.
ObserveEvery decision and data touch on a tamper-proof trail. The auditor sees the whole picture.
RunExecute end to end across systems, and pause at your checkpoints for human approval.
GovernSet the rules once (who, how much, what data), enforced at the level of each action.
EvolveRefine single actions as the business changes. Versioned. Knowledge stays in-house.

Why it holds

Your SOP decides, not the model.
Approvals designed in, not bolted on.
Priced on outcomes, not licences.
Any model, any cloud. No lock-in.

For regulated enterprise and GCC teams

Start with your risk, not a feature list.

Book a workshop

Build · Velocity AI04 / 07

Ship every Friday. Three to four times faster.

Bolting AI onto a three-month sprint doesn’t make it fast. Velocity is a complete operating model: six agentic kits, a living codebase knowledge graph, and a one-week rhythm where most of the product is already built.

3–4×Faster than traditional engineering

60–80%: Pre-built on day one
2.5×: Vs AI-augmented teams
10+: Proprietary IPs

Six agentic kits · One engine

Design
Web
Mobile
Backend
DevOps
Marketing

The sprint · 2 + 2 + 1

Days 1–2Prototype. Rapid AI-assisted build.
Days 3–4Integrate. Real data, APIs, edge cases.
Day 5Harden and ship. Tests, gates, security.

Why it holds

A system, not a team.
Knowledge that compounds each sprint.
Deterministic where it should be.
Production-grade, not demos.

Run by us, or by your team with our support

See it mapped to your own stack and timeline.

Book a discovery call

Train and deploy · AI-native engineers05 / 07

Train and deploy AI-native engineers in eight weeks.

Hiring AI-native talent takes six to twelve months. Building it takes eight weeks. Every engineer finishes certified, with a real project shipped: proof before deployment.

8wksTo certified, deployed engineers

4: Structured phases
3: Role tracks
3+: Industry certifications

Four phases · One transformation

Week 1Fluency. Shared baseline, prompting, tools. Ends with a Go/No-Go.
Weeks 2–3Certification. Role-specific credentials: Coursera, Anthropic, Udemy.
Weeks 4–6Lifecycle. AI across the full workflow: UX, SDLC, QA automation.
Weeks 7–8Applied project. One real build, demoed to stakeholders.

By track