AI solutions studio

Enterprise AI that makes it to production.

Most AI initiatives stall at the demo. eluvai designs, integrates, and governs AI systems that survive contact with real data, real users, and real compliance teams.

See the five solutions ↓
18,420 requests routed through eluvai integrations this month

POWERING THE NEXT GENERATION OF INTELLIGENCE

01AI Integration
02Knowledge / RAG
03Workflow Automation
04Assurance & Governance
05Conversational AI
Why eluvai

Why choose eluvai

Demos are easy. Production AI has to answer to security teams, auditors, budgets, and users. That's the environment we design for.

eluvai team reviewing a production system together
  • Production is the standard.

    Every engagement is scoped to a system running with real users, not a demo.

  • Security-first architecture.

    Access control and audit trails, designed in before build.

  • Vendor-neutral by design.

    Switch models or providers without a rebuild.

  • Governance built in.

    Policy and risk monitoring from day one, not an afterthought.

  • Your team owns it.

    Runbooks and training so nothing depends on us being on call.

80% of AI pilots stall before production — we're built for the other 20%
Solutions

Five solutions. One standard: it has to work in production.

Each engagement is scoped to a measurable outcome — not a slide deck. Open any solution for the full picture.

EL·01 →

AI Integration

Connect AI into the ERP, CRM, and tools your teams already use — securely, without a platform migration.

99.9% uptime SLA · <200ms proxy overhead
EL·02 →

Enterprise Knowledge Retrieval — RAG Systems

Turn scattered documents into a grounded answer engine — every response cited, every query permission-aware.

94% retrieval precision · 100% answers cited
EL·03 →

Workflow Automation AI

Automate document processing, triage, and approvals with AI agents that keep a human in the loop.

82% straight-through · <2min avg cycle time
EL·04 →

AI Assurance & Governance

Audits, policy, and continuous risk monitoring, so governance is something you demonstrate — not scramble for.

100% systems inventoried · quarterly re-audits
EL·05 →

Conversational AI & Support Copilots

Customer-facing chat and voice AI, grounded in your product and policy data, with clean human handoff.

64% containment rate · <2s response latency
How we work

A straight line from idea to running system.

Every eluvai engagement follows the same discipline, whichever solution you start with.

01Week 0–2

Diagnose

Map your data, systems, and the one workflow where AI earns its keep first.

01 / 04
02Week 2–6

Build the pilot

A working system on your real data, with evaluation criteria agreed up front.

02 / 04
03Week 6–12

Productionise

Guardrails, monitoring, access control, and cost engineering — the unglamorous 80%.

03 / 04
04Ongoing

Govern & improve

Audits, drift checks, and quarterly reviews so quality never quietly decays.

04 / 04
By the numbers
80%
of AI pilots stall before production — the gap we exist to close.
6–12 wk
from kickoff to a system running on your real data.
100%
of systems ship with an evaluation suite and audit trail.
5
focused solutions, one standard: it has to work in production.
Sectors

Domain-tailored AI for high-stakes enterprises

We bridge deep industry compliance, legacy system topologies, and real-time SLAs across six core sectors.

Manufacturing & Industrial

SAP/ERP query copilots, preventive maintenance AI & supply chain knowledge

Transform legacy factory-floor databases, technical schematics, and SAP ERP order systems into real-time natural-language query engines — with zero downtime on the systems you already run.

  • Natural-language text-to-SQL assistants operating on read-only database replicas.
  • Hybrid RAG search across CAD schematics, machinery manuals, and maintenance logs.
  • Automated inventory anomaly detection and vendor re-stock trigger agents.
Explore AI Integration →
Financial Services & Banking

Commercial loan analysis, fraud detection & regulatory risk auditing

Scale commercial loan review, automated risk assessments, and regulatory compliance auditing — while maintaining bank-grade encryption and zero PII leaks.

  • Parallelised async document pipelines with chunk-level embeddings.
  • Real-time PII anonymisation and credit-risk compliance guardrails.
  • Semantic caching layer cutting API token spend by over 50%.
Explore AI Assurance & Governance →
Healthcare, Pharma & Medical Devices

Regulatory policy search, clinical trial matching & compliance guidance

Deploy zero-hallucination regulatory research engines and compliant document processing with exact page-level attribution.

  • Dense-sparse hybrid RAG retrieval with cross-encoder re-ranking for exact citations.
  • Zero-data-retention API proxy with strict security logging.
  • Automated eligibility matching based on structured intake metrics.
Explore Enterprise Knowledge Retrieval →
Retail, E-commerce & Supply Chain

Invoice processing, vendor reconciliation & customer agents

Automate invoice exception handling, purchase-order matching, and conversational product assistants connected directly to live inventory.

  • Multimodal extraction pipeline with confidence-scoring thresholds.
  • Straight-through ERP posting for high-confidence items, exceptions to a human queue.
  • Conversational shopping copilots wired to live inventory and shipping status.
Explore Workflow Automation AI →
Logistics & Distribution

Shipment extraction, exception triage & plain-language tracking

Turn shipment paperwork and carrier systems into a single plain-language tracking and exception layer — without replacing what dispatch already uses.

  • Document extraction across bills of lading, manifests, and carrier PDFs.
  • Exception triage that flags at-risk shipments before the customer notices.
  • A plain-language tracking assistant reading live from carrier and TMS systems.
Explore Workflow Automation AI →
Software, Technology & SaaS

In-app AI copilots, security firewalls & support deflection

Harden your product's AI capabilities with real-time prompt-injection firewalls, PII masking, and scalable retrieval to pass enterprise security procurement.

  • Low-latency AI assurance firewall guarding against jailbreaks and data leaks.
  • Semantic caching and model orchestration for consistent sub-second responses.
  • Context-aware documentation RAG for self-service support deflection.
Explore Conversational AI & Support Copilots →

*Illustrative example metrics based on representative engagements.

In practice

From solution to outcome

Illustrative examples of how each solution plays out — swap in your own results as engagements ship.

01
SAPSAPAWSAWS

Order-status copilot on a legacy ERP

Cut manual look-up time from minutes to seconds — no ERP migration required.

→
02
OOpenAIAAnthropic

Support copilot contains two-thirds of chat volume

Grounded in the real product docs, with a strict escalation threshold and full-context handoff.

→
03
PPineconeAAnthropic

Internal policy assistant, fully cited

Grounded, sourced answers replaced two experts fielding hundreds of questions a month.

→
04
AWSAWSAZAzure

Invoice processing, exception-only review

Moved a manual AP process from re-keying everything to reviewing only what's uncertain.

→
05
OTOpenTelemetryLOGAudit logging

Governance readiness before enterprise sales

Turned a blank AI-security questionnaire into a documented, audit-ready risk register.

→
06
EElasticsearchOOpenAI

Zero-hallucination regulatory research assistant

Replaced hours of manual guideline cross-referencing with cited, page-exact answers auditors can verify.

→
Engagement models

Three ways to engage

Every engagement starts with a fixed scope and a fixed price, so you know the cost before you commit to anything.

Start here

Diagnose Sprint

2 weeks · fixed price

We map your systems, your data, and the one workflow where AI will actually pay for itself — and tell you honestly if it won't.

  • Full audit of your systems, data & workflows
  • One AI opportunity, sized with real cost and timeline
  • Architecture sketch you can hand to any vendor
  • A go / no-go call — even if the answer is no
Most common Build

Build & Ship

6–12 weeks · scoped proposal

We take one solution — the one that matters most — from a whiteboard sketch to a system your team runs and trusts.

  • Working pilot on your real data inside 6 weeks
  • Evaluation suite, so quality is a number, not a feeling
  • Guardrails, monitoring & cost engineering built in
  • Full handover: code, docs & trained operators
Ongoing

Assurance Retainer

Monthly · cancel anytime

Governance that keeps working after launch — audits, monitoring, and policy that stay current as your systems and the regulation around them change.

  • Quarterly audits & red-team re-checks
  • Continuous drift, cost & incident monitoring
  • Policy updated as regulation moves
  • One report your board can actually read
Technology

Vendor-neutral, across the stack

We choose per task on quality, latency, cost, and data residency — and architect so you can switch later.

AnthropicOpenAIGoogleMistralMeta LlamaOpen-weight models
PineconeWeaviatepgvectorElasticsearchQdrantChromaDB
LangGraphLangChainCrewAITemporaln8n
AWSAzureGoogle CloudYour VPCOn-premises
SalesforceSAPZohoMicrosoft 365Google WorkspaceServiceNowCustom & legacy systems
Evaluation suitesOpenTelemetry tracingInfrastructure-as-codeCI/CD gatingAudit logging

Frequently asked questions

The questions we hear in almost every first conversation.

FAQ
01

How do we know which solution to start with?

Start with a diagnostic conversation. Our two-week Diagnose phase finds the best-fit workflow.

02

How long does a typical engagement take?

A first working system ships in 6–12 weeks: 2 for diagnosis, 4 for pilot, the rest hardening.

03

Where does our data go? Is it used to train models?

Your data stays inside your security boundary and is never used for model training.

04

Which AI models and vendors do you work with?

We're vendor-neutral, choosing models per task by quality, latency, cost and data residency.

05

Do we need an in-house AI team to work with you?

No. We work with your engineers, and every engagement includes handover and training.

06

How is pricing structured?

Fixed price for Diagnose, then a scoped proposal per engagement. Governance retainer is monthly.

The eluvai position

We don't sell AI demos. We ship systems that survive contact with real data and real users — proven with numbers, not slides.