Build
Custom software.Production AI you own.
Spec-driven engineering for teams that need AI systems, voice agents, and production software, built on schedule, at cost, with full ownership. You get the code, the models, and the infra. No lock-in, no black boxes.
The promise
On spec. On schedule. On budget.
Fixed scope, fixed cost.
On spec
You approve the spec. We build exactly that.
On schedule
Working software from week one, weekly demos every Friday.
On budget
Fixed scope means a fixed price, agreed up front.
What we build
Five use cases, one accountable team.
Omni-channel agents
One agent across voice, WhatsApp, web, and mobile. It verifies identity, answers over telephony and chat, takes actions in your systems, and writes every exchange to the record.
Sub-second, interruptible voice
WhatsApp, web, and mobile
Wired to your CRM and telephony
Multilingual
Enterprise automation
The workflows still running on spreadsheets, email, and copy-paste. We replace them with agents that read the documents, make the call, and update the system of record, with a human in the loop where it matters.
Document understanding and extraction
Agentic workflow orchestration
ERPs, ops dashboards, internal tools
Role-based access and audit trails
Custom AI systems
Fine-tuned models, RAG over your data, and agentic workflows. Your domain, your terminology, your compliance.
LoRA and full fine-tuning
Enterprise RAG with citations
Evals drawn from your real cases
Private AI and infrastructure
Self-hosted models and air-gapped deployments, on your infra. When data cannot leave, the model comes to it.
On-prem and hybrid cloud
Self-hosted LLM inference
Kubernetes and bare-metal ops
Media generation pipelines
Script or concept in, finished video out. We build the pipeline that turns words into film, programmatically, and run it at scale, in your cloud or ours.
Live in production, with paying users
- 01
Script to scene graph
A model breaks a script or concept into scenes and shots.
- 02
Frames
Images generated for every shot, characters and products held consistent.
- 03
Motion
Stills become moving, directed shots.
- 04
Graphics
Titles, lower-thirds, data, and diagrams composited in programmatically.
- 05
Voice and score
Synthetic narration, dialogue, and music, timed to the frame.
- 06
Render and deliver
Assembled in the cloud, in both 16:9 and 9:16.
How we work
Four phases.
Scope
1 to 2 weeks
We turn your use case into a fixed spec and a fixed price.
Build
4 to 12 weeks
Working software from week one, a demo every Friday.
Harden
1 to 2 weeks
Load, security, and eval passes before it touches real traffic.
Support
Ongoing
We stay on to keep it running, or hand it fully to your team.
Why us
Why us, not them.
Senior engineers only
No juniors learning on your project. Everyone has shipped production systems at scale.
Founded by a builder
Founded by Varun Singh; the software he built, ScaleArc, ran in production at NASDAQ, Dell, and Microsoft.
You own everything
The model, the training data, and the code. No lock-in.
Fixed cost
Fixed scope, fixed price, no surprise invoices.
Measured, not asserted
Every capability is graded against your real cases before it ships.
Built across domains
Real-time voice, manufacturing platforms, enterprise tools.
Questions
What teams ask before a build.
What does Himalayan Labs build?
Custom AI software: omni-channel voice and chat agents, enterprise automation, fine-tuned models and RAG over your data, private on-prem AI, and end-to-end media generation pipelines. You get the code, the models, and the infrastructure.
Do we own the software you build?
Yes. Every engagement ends with you owning the code, the models, and the infrastructure. No lock-in, no black boxes, and no vendor to renew with.
How is a project priced?
Fixed scope means a fixed price, agreed up front. We turn your use case into a spec, then a fixed quote, so there are no surprise invoices.
How soon do we see working software?
From week one, with a demo every Friday. A first system is weeks, not quarters, because we scope to one use case and build against its evals.
Can it run where our data cannot leave?
Yes. We deploy self-hosted models on-prem or air-gapped on your own infrastructure. When data cannot leave, the model comes to it.
Who does the work?
Senior engineers only, no juniors learning on your project. Himalayan Labs was founded by Varun Singh, whose software has run in production at NASDAQ, Dell, and Microsoft.
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