Off-the-shelf AI doesn’t fit everyone. Your business and teams needs smarter solutions—ones that understand your data, your tone, and your customers. Custom LLMs adapt to your workflows, eliminate friction, and drive real results. Own your AI. Don’t rent it.
Rating 4.9 by 255 users.
Plug your AI into your own data & systems through over 400 integrations
Getting started
How it Works
We fine-tune AI models on your domain-specific data. They seamlessly integrate with your tools and workflows. The result? Smart, secure, and context-aware automation.
Our Solutions
Smarter Native AI, where goals align
It’s more than just talk. From automating workflows and powering smart search to summarizing complex data and driving multilingual support—our AI adapts to wherever intelligence is needed. Built for voice, text, apps, and beyond.
Respond to customers instantly with brand-aligned answers
• Context-Aware Responses Trained on your products, policies, and tone to deliver precise answers every time. • Consistent Tone, Every Time Respond in your brand’s voice—formal, friendly, or multilingual—with zero drift. • Instant, 24/7 Resolution Handle customer queries round the clock without wait times or escalation delays. • Converse in regional accents for smoother, more natural conversations.
Enhance customer interactions with real-time realtime sentiment detection.
• Lead Qualification, Automated Instantly assess buyer interest and behavior using custom-trained prompts • Pitch Copy, On Demand Generate persuasive, personalized outreach messages aligned with each lead’s needs. • CRM-Ready Integration Sync with your sales stack to update records, score leads, and trigger workflows. • Adaptive Follow-Ups Craft intelligent next steps based on buyer signals—without lifting a finger.
Automate routine tasks so your team can focus on what truly matters.
• Task Automation Hub Trigger multi-step workflows—from approvals to reporting—without manual effort. • Meeting Summaries in Seconds Auto-generate actionable minutes from internal meetings, calls, or transcripts. • Policy Document Search Help teams instantly locate the right SOPs, HR docs, or legal clauses using natural language. • Time-Saving Assistants Deploy AI copilots to support daily operations and reduce turnaround time. • Process Intelligence Streamline repetitive internal processes using AI trained on your company’s knowledge.
Turn enterprise data into quick, contextual answers across teams
• AI-Powered Knowledge Retrieval Instant answers from documents, wikis, and emails—no more digging through files. • Contextual Enterprise Search Understand intent and context to deliver precise results tailored to your workflows. • Unified Knowledge Access Break down silos with one intelligent search bar across teams and tools. • Custom-Trained Accuracy Fine-tuned on your data for responses that align with your domain and terminology.
FAQ
Frequently Asked Questions About Product Feeds
01. What’s the difference between a Custom LLM vs. a Standard LLM?
Standard LLM is a generic, off-the-shelf language model pre-trained on broad web data. A Custom LLM is further fine-tuned on your proprietary documents, chat logs, and workflows—so it speaks your industry jargon, enforces your policies, and delivers pinpoint accuracy.
02. Custom GPT vs. Custom LLM: What Sets Them Apart?
“Custom GPT” typically refers to OpenAI’s GPT variants fine-tuned via their API or GPT Builder. A Custom LLM can be any base model (LLaMA, Mistral, etc.) tailored to your data and infrastructure, giving you choice of architecture, hosting, and licensing.
03. Who Are LLM Agents and How Do They Work?
LLM Agents are AI-powered bots that leverage your Custom LLM to autonomously perform tasks—booking meetings, routing support tickets, generating reports—by chaining prompts, tool calls, and logic flows to execute multi-step workflows.
04. What Are the Top Benefits of Custom AI & LLMs for Business?
Custom AI & LLMs boost efficiency by automating customer support, personalizing marketing outreach, streamlining internal workflows, and surfacing insights from unstructured data—driving faster decisions and higher ROI.
05. What Data Do You Need to Train a Custom LLM?
To build an accurate Custom LLM, you need high-quality, domain-specific assets such as product manuals, policy documents, knowledge-base articles, CRM records, and chat transcripts that reflect your brand voice and processes.
06. How Secure Are Custom AI & LLM Solutions?
Custom AI & LLM deployments run in private clouds or VPCs, use end-to-end encryption, and can adhere to standards like GDPR, HIPAA, or SOC 2—ensuring your data stays protected and fully under your control.
07. What’s the Typical Deployment Timeline for a Custom LLM?
Most Custom LLM projects take 4–8 weeks:
Data collection & cleansing
Model fine-tuning
API integration & testing
User training & rollout Post-launch tuning keeps performance aligned with evolving needs.
08. What Post-Deployment Support Is Offered for Custom LLMs?
After launch, you get continuous monitoring, performance tuning, prompt engineering updates, and incremental model retraining—ensuring your Custom LLM stays accurate, secure, and aligned with new data and business goals.
09. How do I build a custom AI for my business?
Create a tailored AI by:
Gathering & cleaning your proprietary data (manuals, chat logs, CRM records)
Selecting a base LLM (LLaMA, GPT, etc.)
Fine-tuning the model on your assets via no-code platforms or SDKs
Deploying through APIs for seamless integration into your apps
10. What’s the best way to add AI to my business operations?
Integrate AI in four steps:
Identify high-impact use cases (support, sales, workflows)
Pilot off-the-shelf tools to validate ROI
Train teams on AI workflows and governance
Embed chosen models with APIs/SDKs—then measure performance and iterate
11. How can I customize ChatGPT for enterprise use?
Turn ChatGPT into your brand’s AI by:
Upgrading to ChatGPT Plus or Enterprise
Crafting system prompts that define tone, role, and guardrails
Feeding in domain content (knowledge bases, glossaries)
Testing and refining with prompt engineering before launch
12. How much does it cost to build a custom AI solution?
Custom AI pricing depends on scope:
- Basic fine-tuning: $10 K–$50 K (small datasets, standard hosting)
- Mid-tier solutions: $50 K–$250 K (complex workflows, API integrations)
- Enterprise deployments: $250 K+ (large data volumes, custom tooling, SLA support)
Costs vary with data prep, compute hours, model complexity, and ongoing maintenance.
Pricing Plan
All the Bussiness enrichements you need hassle-free
Built by experts, our Custom LLMs go beyond plug-and-play—designed for serious teams that want full control, compliance, and impact.
BASIC
- Basic fine-tuning, small dataset
- Workflows: Single-step automations (e.g., FAQ bots)
- Api Access: Shared endpoint
- Support (business hrs)
- Hosting: Shared Cloud
STARTER
- Standard fine-tuning, medium dataset
- Workflows: Multi-step ticket triage & response
- Api Access: Standard endpoint
- Support (business hrs)
- Hosting: Standard cloud with 99% uptime SLA
- SLA: 99.9% uptime
- Compliance: GDPR-ready
- Extras : Custom embeddings & retrieval layer
PREMIUM
- Advanced fine-tuning, large dataset
- Cross-system workflows (CRM, ERP, helpdesk)
- API Access: Priority endpoint + rate-limit boost
- Hosting: Dedicated cloud nodes with auto-scaling & 99.9% SLA
- Support 24/5 chat & email + quarterly review
- Compliance: GDPR/HIPAA/SOC 2 certified
- Extras: Custom embeddings & retrieval layer, White-glove training, custom tooling
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