Publicly listed on BSE · ISO 27001 & SOC 2 Type II certified
Enterprise LLM Integration
Turn scattered applications, data, workflows, and knowledge into unified AI systems with our LLM integration services. We help you automate work, improve information access, and operate AI securely.
Select the challenge closest to your situation to identify a practical starting point.
Recommended:
LLM Integration Workshop
Define use cases, systems, data, controls, and success criteria for LLM integration.
Get StartedAI Connected Around Business Needs
LLM projects stall when models sit outside business systems. Applications, APIs, enterprise data, permissions, and workflows must work together securely and reliably.
Capital Numbers delivers LLM integration services built for enterprise systems. We integrate proven models with your existing software, data, knowledge, and APIs, so teams run AI inside real business operations.
Best Fit
LLM integration fits applications, RAG, automation, deployment, monitoring, security, and scaling needs.
Connect AI agents with apps, data, APIs, and tools to automate complex workflows with defined controls.
Move AI pilots into production with automated testing, security gates, human approvals, and controlled releases.
Improve response quality with grounded retrieval, evaluations, guardrails, and controlled knowledge access.
Track LLM quality, latency, errors, token use, cost, and model routing across enterprise teams.
Connect databases, APIs, and documents with role-based access to retrieve context without exposing sensitive data.
Add experienced AI engineers for agent integration, RAG, governance, and production operations.
Connect AI agents with apps, data, APIs, and tools to automate complex workflows with defined controls.
Move AI pilots into production with automated testing, security gates, human approvals, and controlled releases.
Connect AI agents with apps, data, APIs, and tools to automate complex workflows with defined controls.
Move AI pilots into production with automated testing, security gates, human approvals, and controlled releases.
Improve response quality with grounded retrieval, evaluations, guardrails, and controlled knowledge access.
Track LLM quality, latency, errors, token use, cost, and model routing across enterprise teams.
Connect databases, APIs, and documents with role-based access to retrieve context without exposing sensitive data.
Add experienced AI engineers for agent integration, RAG, governance, and production operations.
Business Outcomes
Measure task completion, grounded-response quality, latency, token cost, automation rate, review hours, and failure rate.
Shorten task cycles through connected LLM actions, trusted context, automation, and defined review workflows.
Improve answer quality through retrieval, evaluations, guardrails, and defined response processes.
Enforce permissions, access boundaries, grounding rules, and oversight across LLM-connected systems.
Give teams one view of LLM quality, latency, token use, failures, costs, and exceptions.
Reduce model calls, token use, manual work, repeated queries, and avoidable processing.
Support audits with clear ownership, traceability, approvals, access rules, and documented controls.
Core Capabilities
Capital Numbers provides enterprise LLM integration consulting across applications, APIs, RAG, workflows, deployment, security, and optimization.
Our development team assesses use cases, systems, data, risks, dependencies, integration needs, and overall readiness.
We deliver LLM API integration services across business apps, SaaS platforms, APIs, data sources, and core systems.
We deliver RAG system integrations using trusted sources, vector retrieval, access controls, grounding, and knowledge workflows.
We connect LLMs to approved business workflows to automate multistep tasks with defined controls, reviews, and handoffs.
We optimize LLM performance through testing, prompt tuning, model selection, and custom fine-tuning where justified.
We implement conversational AI across support, search, copilots, and workflows with context, controls, and human review.
We implement secure LLM deployments with access, privacy, guardrails, auditability, approvals, and governed data use.
We deploy proprietary or open-source LLMs in cloud environments with secure access, monitoring, governance, and controls.
Our development team assesses use cases, systems, data, risks, dependencies, integration needs, and overall readiness.
We deliver LLM API integration services across business apps, SaaS platforms, APIs, data sources, and core systems.
Our development team assesses use cases, systems, data, risks, dependencies, integration needs, and overall readiness.
We deliver LLM API integration services across business apps, SaaS platforms, APIs, data sources, and core systems.
We deliver RAG system integrations using trusted sources, vector retrieval, access controls, grounding, and knowledge workflows.
We connect LLMs to approved business workflows to automate multistep tasks with defined controls, reviews, and handoffs.
We optimize LLM performance through testing, prompt tuning, model selection, and custom fine-tuning where justified.
We implement conversational AI across support, search, copilots, and workflows with context, controls, and human review.
We implement secure LLM deployments with access, privacy, guardrails, auditability, approvals, and governed data use.
We deploy proprietary or open-source LLMs in cloud environments with secure access, monitoring, governance, and controls.
AI-Enabled Delivery
AI supports work in approved, isolated environments. Client data is not used for training unless agreed, and engineers review outputs before use.
We define approved tools, access boundaries, repository permissions, audit logs, human approval gates, and escalation rules for each engagement.
We use AI to structure requirements, map LLM workflows, and compare options before expert review.
We let AI handle API scaffolding and refactoring while engineers review every production integration.
We use AI to generate edge cases, prompt tests, retrieval checks, and failure scenarios that strengthen validation.
We rely on AI to compare schemas, map dependencies, and review APIs before engineers finalize integrations.
We use AI to draft LLM architecture notes, API guides, prompt records, runbooks, and release documentation.
We keep AI within approved data controls, peer review, security checks, and established delivery processes.
Delivery Process
Our delivery process uses defined owners, milestones, acceptance criteria, quality gates, and reporting to control scope, risk, and timelines.
01

We assess systems, data, risks, dependencies, and success thresholds before a go/no-go.
02

Architects and AI leads approve models, integrations, data access, controls, and ownership.
03

We connect LLM APIs, apps, enterprise data, RAG pipelines, and workflow actions.
04

AI, security, and QA leads approve quality, access, resilience, scale, and recovery.
05

The release owner approves launch, rollback, monitoring, and security readiness.
06

We provide LLMOps support for integrations, incidents, model changes, security, monitoring, and governance.
01

We assess systems, data, risks, dependencies, and success thresholds before a go/no-go.
See why businesses continue to choose Capital Numbers.
Client StoryProfessional Team, always open to feedback. Delivering high-quality projects on time.
Nami Ayoub
Senior Business Development Manager, Amazon
Capital Numbers handled our complex AI-connected app and smart scale successfully. The team was responsive and solved urgent needs quickly.
Sarfraz Khokhar
CEO, Rasimo Systems LLC
Capital Numbers delivered our automation solution professionally with consistent communication throughout the project. The team kept us informed throughout the process.
Dillon Flaherty
Owner, Bagmask.com
Professional Team, always open to feedback. Delivering high-quality projects on time.
Nami Ayoub
Senior Business Development Manager, Amazon
Capital Numbers handled our complex AI-connected app and smart scale successfully. The team was responsive and solved urgent needs quickly.
Sarfraz Khokhar
CEO, Rasimo Systems LLC
Capital Numbers delivered our automation solution professionally with consistent communication throughout the project. The team kept us informed throughout the process.
Dillon Flaherty
Owner, Bagmask.com
Engagement Models
We offer flexible LLM engagement models based on your integration needs, internal capabilities, project scope, and long-term system ownership.
Add LLM engineers, data specialists, or integration experts to strengthen your existing delivery team.
Best when:
You have internal AI leadership but need integration capacity.
Technology Expertise
We list frequently used tools based on models, data, security, scale, governance, and existing environments.
Industries We Serve
Trusted across industries to connect, govern, and securely scale LLM-powered workflows and applications.
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We integrate LLMs into KYC checks, fraud reviews, compliance queries, and support workflows, with access controls, grounded retrieval, and audit-ready review trails.
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We connect LLMs to clinical notes, patient queries, and knowledge bases using privacy controls, grounded retrieval, human review, and secure clinical data access.
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We integrate LLMs into product search, support chat, content generation, and commerce workflows with grounded context, reliable APIs, and performance visibility.
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We embed LLM features into asset monitoring, support tools, forecasting, and knowledge systems, using secure APIs, real-time monitoring, and governance controls.
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We integrate LLMs into KYC checks, fraud reviews, compliance queries, and support workflows, with access controls, grounded retrieval, and audit-ready review trails.
The Capital Numbers Advantage
Capital Numbers delivers LLM integration solutions through secure engineering, governance, and clear ownership.
Publicly listed company with clear ownership.
Senior architects guide LLM integration and security.
AI, cloud, data, backend, QA, security, and DevOps expertise in one team.
SOC 2 Type II, ISO 9001, and ISO 27001-compliant delivery practices.
Stable teams retain LLM knowledge and ownership.
Flexible engagement models aligned to your LLM needs.
Publicly listed company with clear ownership.
Senior architects guide LLM integration and security.
Publicly listed company with clear ownership.
Senior architects guide LLM integration and security.
AI, cloud, data, backend, QA, security, and DevOps expertise in one team.
SOC 2 Type II, ISO 9001, and ISO 27001-compliant delivery practices.
Stable teams retain LLM knowledge and ownership.
Flexible engagement models aligned to your LLM needs.
Explore expert insights on software architecture, modern development frameworks, AI-assisted engineering, application modernization, DevOps, testing, and scalable software delivery.
Our LLM integration services cover model and API integrations, RAG and vector search, workflows, security, deployment, monitoring, and optimization.
Cost depends on systems, data readiness, model choice, RAG complexity, integrations, security, infrastructure, and deployment needs.
Timelines depend on system complexity, data access, model selection, evaluation needs, and integration scope. We define milestones during discovery.
We use approved models, access controls, data boundaries, testing, guardrails, audit logs, and human review before production release.
Ownership terms are defined in the agreement. Client data and custom deliverables remain protected through access controls, confidentiality, and documented IP terms.
We work with your teams through defined reviews, reporting, and quality gates, then support LLM monitoring, model changes, and ongoing optimization.
Not sure your systems, data access, or governance requirements are fully defined? Start with an integration assessment before you commit to full implementation.
Publicly Listed
Technology Company
600+
Engineering Professionals
14+ Years
of Enterprise Delivery Experience
SOC 2 Type II, ISO 9001, ISO 27001
Certified
500+ Client Reviews
Across Global Platforms
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Trusted By Global Brands, Growth Companies, And Enterprise Teams
CNBC TV-18 Most Trusted Brands India 2021
The Manifest - Most Reviewed Software Developers 2024
Financial Times - High-Growth Companies Asia-Pacific 2024
ET NOW - Best Tech Brands 2024
TIMES - Business Awards 2025 - Excellence in AI Solutions
ET Edge - Best Tech Brands 2025
NASSCOM - SME Inspire 2025 - Growth Leadership in Tech Services
ET NOW - Best Brands 2025

Clutch - Global Winner 2026
CNBC TV-18 Most Trusted Brands India 2021
The Manifest - Most Reviewed Software Developers 2024
Financial Times - High-Growth Companies Asia-Pacific 2024
ET NOW - Best Tech Brands 2024
TIMES - Business Awards 2025 - Excellence in AI Solutions
ET Edge - Best Tech Brands 2025
NASSCOM - SME Inspire 2025 - Growth Leadership in Tech Services
ET NOW - Best Brands 2025

Clutch - Global Winner 2026
CNBC TV-18 Most Trusted Brands India 2021
The Manifest - Most Reviewed Software Developers 2024
Financial Times - High-Growth Companies Asia-Pacific 2024
ET NOW - Best Tech Brands 2024
TIMES - Business Awards 2025 - Excellence in AI Solutions
ET Edge - Best Tech Brands 2025
NASSCOM - SME Inspire 2025 - Growth Leadership in Tech Services
ET NOW - Best Brands 2025

Clutch - Global Winner 2026
CNBC TV-18 Most Trusted Brands India 2021
The Manifest - Most Reviewed Software Developers 2024
Financial Times - High-Growth Companies Asia-Pacific 2024
ET NOW - Best Tech Brands 2024
TIMES - Business Awards 2025 - Excellence in AI Solutions
ET Edge - Best Tech Brands 2025
NASSCOM - SME Inspire 2025 - Growth Leadership in Tech Services
ET NOW - Best Brands 2025

Clutch - Global Winner 2026