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ModulusLabs
AI systems engineering

Enterprise AI,precisely engineered.

We architect, build, and operate AI systems end to end — from strategy through production.

faster delivery cycles
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faster delivery cycles

autonomous QA pass rate
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autonomous QA pass rate

user follow-through
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user follow-through

Built and operated in production

LLM applicationsRAG pipelinesEvaluation harnessesModel routingPrompt injection defenseMLOps & observabilityStructured extractionAgent orchestrationLatency & cost tuning
01Flagship product

The AI sales agent inside WhatsApp

Deployed for solar and real estate — built for any industry. It answers, proposes, negotiates, and closes, so no lead you paid for goes unanswered.

  1. Answers every question, 24/7

    Replies instantly from your own pricing, inventory, and policies — in any language, at any hour.

  2. Builds the right proposal

    Qualifies in conversation and shapes an offer that fits — a solar system, a payment plan, a unit shortlist.

  3. Negotiates within your limits

    Flexes terms you've already approved, never past your floor — then takes the deposit on the spot.

  4. Closes or hands to your team

    Books the deal, the survey, or the site visit — routed to the right human the moment it matters.

73% of people would rather message a business than call it. Our solar agent already handles the majority of its client’s monthly sales at a 4.8/5 customer rating.

Try the agent liveLive solar agent · real conversation
S

Sara · AI sales agent

online · replies instantly

Live demo
Salam — I need solar for my house, around 10kW. What would it cost?19:42
Great choice. With your usage, a 10kW hybrid system pays for itself in ~3.5 years. Sharing a tailored proposal now — want net metering included?19:42
Yes. Another company quoted me less though.19:44
I can match the value a different way: same tier-1 panels, extended service plan, and 12-month installments at 25% down. Shall I lock that in and book our engineer's survey?19:45
Deal. Book it.19:46
02Services

Focused AI services for production outcomes

A concise service lineup designed to help teams move from idea to reliable deployment.

Custom AI Solutions & Development

Custom AI products built around your workflows, data, and business goals.

AI Automation & Workflows

Reliable human-in-the-loop automations for repetitive and document-heavy processes.

AI Consulting

Strategic AI guidance on use cases, architecture choices, and practical rollout plans.

LLM & RAG Systems

Production-ready LLM and knowledge systems built for accurate, grounded responses.

AI Integration & Deployment

End-to-end integration into your stack with release rigor and production reliability.

Optimization, Security & Support

Continuous optimization, security hardening, and post-launch support for stable growth.

03Proof

Results that hold up in production

Representative engagements across industries. Each built to ship and stay reliable at scale.

Healthcare & Longevity

AI metabolic health engine for a premium diagnostics clinic

  • Clinician-ready health narratives in under 60 seconds
  • Innovative AI Award Winner
Examine architecture
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Improvement in patient follow-through

Enterprise AI

Autonomous multi-agent ecosystem for an enterprise delivery pipeline

  • 99.8% autonomous QA pass rate
  • 10× increase in go-to-market velocity
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Reduction in development lifecycle

Legal Tech

Enterprise AI workspace for accelerated legal delivery

  • 3× faster contract due diligence
  • Firm-specific guardrails and compliance adherence
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Reduction in routine drafting time

04Process

A process built for production AI

01

Discovery

We map your problem space, data landscape, and constraints. No solutioning until we understand the system.

02

Build

Iterative development with evals at every stage. We ship working increments, not slide decks.

03

Deploy

Production deployment with monitoring, alerting, and rollback. Your AI system launches with the same rigor as any critical service.

04

Operate

Ongoing monitoring, eval maintenance, model updates, and incident response. We treat AI systems as living infrastructure.

05Principles

How we think about AI systems

Reliability first

Every system we build has health checks, fallbacks, and graceful degradation. AI that breaks silently is worse than no AI at all.

Evals before features

We build the measurement system before we build the thing being measured. If we can't eval it, we don't ship it.

Security by default

Prompt injection defense, output filtering, PII handling, and audit logging are not add-ons. They're table stakes.

Observable systems

Every AI component has logging, metrics, and tracing. When something changes, you know what and why.

Maintainable architecture

Clean interfaces, documented decisions, tested pipelines. The team that inherits this system will thank you.

Next step

Ready to build AI that works?

Tell us about your system. We’ll tell you how we’d approach it.