Secure AI that ships

We build and secure custom LLMs that reduce latency, cut costs, and meet enterprise governance—without vendor lock-in.

Why Soulputs

Security-first AI with production-grade MLOps. We prototype fast, harden with policy and guardrails, and deploy to your cloud with measurable ROI.

Security-first by design

Enterprise-grade controls: DLP, guardrails, policy, observability. Proven confidentiality and compliance posture with SOC2-ready approach.

Production-grade delivery

From rapid prototyping to scalable deployment with MLOps discipline. SLAs on reliability, uptime, and support with rollback capabilities.

Measurable business outcomes

Clear KPI alignment: latency, cost/req, accuracy, CSAT, conversion. ROI dashboards and AB tests for each release with quantifiable results.

Platform-agnostic, model-agnostic

Custom LLMs tuned to data and constraints. Evaluation and ranking across providers (open/closed) with transparent trade-offs.

Esports technology leadership

High-throughput live ops, anti-cheat, rankings, and fan engagement. Secure, low-latency infrastructure for peak loads and fairness.

Outcomes, not hype

We define KPIs early—latency, accuracy, cost/req—and validate via evaluation and load tests. You get dashboards, not guesses.

↓42%
Latency reduction
↓31%
Cost per request
↑18%
Task accuracy
99.95%
Uptime

Yamraj AI Gateway

A secure LLM proxy delivering DLP, policy, and observability with ultra-low overhead. Keep data private and compliant.

  • Policy-as-code and role-based controls
  • PII redaction and content filters
  • Observability with SIEM exports
Yamraj Gateway
Overhead: <25ms
Data loss risk: ↓80%
Policy coverage: ↑100%

Custom LLMs

Model-agnostic fine-tuning and RAG with your data and constraints. Built for reliability, scaled with MLOps best practices.

Data Strategy & RAG

Retrieval pipelines, chunking, embeddings, and evals to ensure relevant, trustworthy answers at speed.

Fine-tuning & Tools

Instruction-tuning, adapters, and guardrails. We match models to constraints—cost, latency, compliance.

MLOps & Reliability

CI/CD for models and prompts, canary deploys, feature flags, and rollback plans.

LLM Discovery & Evaluation

Compare providers, prompts, and costs—quantitatively. Make the right model decision with transparent trade-offs.

Evaluation Framework

Task suites, golden sets, bias checks. Each run produces comparable, defensible results.

>40 models tested • 1-2 week delivery

Total Cost Modeling

Cost/req projections, load simulations, cache strategies, and quota planning.

Predictable scaling costs • Vendor risk reduction

Esports technology

Scalable, low-latency platforms for tournaments, ranking, and anti-cheat. Built for peak concurrency and fairness.

Tournament Engine

Brackets, matchmaking, scoring, with real-time updates under heavy concurrency.

Integrity & Anti-cheat

Pattern detection, anomaly scoring, and appeals workflow for fair play.

Engagement & Monetization

Leaderboards, rewards, sponsors, and analytics for fan engagement.

Trusted by teams that ship

Enterprise clients across AI and esports

Enterprise Client 1Enterprise Client 2Enterprise Client 3Enterprise Client 4Enterprise Client 5Enterprise Client 6
SOC2-ready • GDPR-friendly • Regional hosting options

Start quickly, scale safely

A 3-step engagement: discovery, prototype, production. Governance built-in at each stage.

Step 1

Discovery

Workshops to define KPIs, risks, and integration points. We ship a roadmap with costs and success metrics.

Step 2

Prototype

Rapid development with security controls. Test with real data and validate performance assumptions.

Step 3

Production

Hardened deployment with MLOps, monitoring, and rollback plans. Ongoing support and optimization.

Soulputs delivered exactly what we needed—secure AI that actually works in production. The Yamraj Gateway gave us confidence to deploy LLMs at scale.
Sarah Chen
CTO, FinTech Startup

Frequently Asked Questions

Do you work with on-prem/cloud?

Yes—AWS, Azure, GCP, VPC, or on-prem. We adapt to your infrastructure requirements and security constraints.

How do you secure prompts/data?

DLP, PII redaction, policies, and audit trails via Yamraj. Data never used for model training without consent.

What models do you support?

Open/closed source; we are model-agnostic. GPT, Claude, Llama, Mistral, and custom models.

Typical timeline?

Prototype 2–4 weeks, production 6–12 weeks. Depends on complexity and integration requirements.

Pricing model?

Fixed-scope or milestone-based with SLAs. Transparent pricing with no hidden costs.

IP and data ownership?

You own IP and data; we sign strict DPAs. No vendor lock-in or data retention beyond project scope.

Ready to ship secure AI?

Tell us your goals. We'll propose an approach with KPIs and timeline.