Answers Sound Right but Aren't
Models make up facts when they aren't connected to your real data.
Generative AI & LLM Solutions
Generative AI Development Services Grounded in Your Data
We build generative AI features and LLM applications that answer from your real documents, data and workflows, so your users get accurate, on-brand results instead of confident guesses.
Challenges We Solve
Why Generative
AI Projects Disappoint
Getting a demo to impress is easy. Getting an LLM app that people trust every day is not.
Your Data Isn't Ready
Content spread across documents, drives and systems is hard for an LLM to use.
Security and Privacy Concerns
Teams worry about sending sensitive data to public AI models.
Costs Rise as Usage Grows
Inference bills climb quickly without the right model choices and caching.
Book a Free Discovery Call
Talk to a GenAI Expert
Talk to a GenAI Expert
Service
Our Generative AI Development Services
As a generative AI development company and LLM development company, we cover every step from idea to production.
Generative AI Consulting
We help you choose the right use cases, models and architecture before you invest in a build.
RAG Development Services
Retrieval-augmented generation that connects LLMs to your documents and data for accurate, sourced answers.
Custom LLM Development
LLM-powered apps, copilots and assistants built into your product and workflows.
LLM Fine-Tuning Services
Train models on your examples to match your tone, terminology and tasks.
Private LLM Development for Enterprise
Deploy open-source or hosted models in your own cloud so sensitive data never leaves your control.
Enterprise Generative AI Solutions
Content generation, document processing and knowledge assistants with guardrails, access controls and audit logs.
Process
How We Build Your Generative AI Solution
A three-phase process that proves value early and keeps quality and cost under control as you scale.
Phase 1: Define the Use Case
Timeline: 1-2 weeks
We pick the right use case, review your data and choose the model and architecture that fit your goals and budget.
Deliverables:
- Use-case definition and success metrics
- Data readiness review
- Model and architecture recommendation
- Security and privacy plan
- Cost estimate for build and usage
Phase 2: Build & Ground the Model
Timeline: 3–6 weeks
We build the application, connect it to your data with RAG or fine-tuning and test it on real questions.
Deliverables:
- Working GenAI application
- Data pipelines and vector search
- Evaluation set and quality scores
- Guardrails and fallback responses
- User testing results
Phase 3: Activate & Govern
Timeline: 6–8 weeks and ongoing
We launch to users, monitor quality and cost, and keep improving accuracy over time.
Deliverables:
- Production release
- Quality and cost monitoring
- Feedback and improvement loop
- Prompt and model updates
- Usage and ROI reporting
Benefits
Why Generative AI Matters for Your Business
Accurate, Sourced Answers
Responses grounded in your own content, with sources your users can check.
Faster Content and Document Work
Draft, summarize and extract information in seconds instead of hours.
Data That Stays Secure
Private deployment options and strict access controls protect sensitive information.
Predictable Costs
The right model for each task and smart caching keep usage costs in check.
Features Users Actually Adopt
GenAI built into existing workflows, not a separate tool people forget.
Use Cases
Generative AI Solutions for Your Industry
AI in Healthcare
We build generative features for lending and financial-operations platforms where wrong answers carry real cost.
Draft underwriting notes grounded in submitted documents.- Build conversational search over policy and compliance documentation.
- Automate first-draft client communications for human review.
- Add citation and source-tracing so outputs are auditable.
Case Studies
Proof, Not Just Prompts
Projects Of Novatore Solutions
FinTechAI Strategy
Credifi
Credifi is an AI-assisted commercial lending platform built on Next.js for Australian finance professionals. Novatore built generative features that draft underwriting notes and case summaries grounded in submitted loan documentation, rather than templated boilerplate.
OUTCOME
Document grounded drafting support that reduced the manual write up burden during underwriting review.
Challenge: Finance professionals needed detailed, accurate case summaries for every loan file, and writing them by hand was slow and inconsistent.
Solution: Novatore built drafting features pulling directly from submitted documentation, with the finance professional reviewing and finalizing each draft.
Result: Reduced write-up burden and more reviewer time available for judgment calls rather than transcription.
Generative AI SaaS
JOTIQ
JOTIQ is an AI-powered recruitment and outreach platform built on Next.js and NestJS for sales teams and agencies. Novatore built generative drafting features that automate first-touch and follow-up messaging across the entire pipeline, grounded in candidate and client context.
OUTCOME
Automated first draft outreach messaging across the pipeline, reducing manual drafting steps for sales and agency teams.
Challenge: Sales and agency teams were writing every outreach message from a blank page, capping how many conversations they could run at once.
Solution: Novatore built context-aware generative drafting tied to candidate profile, client history, and pipeline stage, with a human review step before sending.
Result: Consistent, relevant first drafts at every pipeline stage, freeing recruiter time for higher-value conversations.
Real EstateProperty AI
Hexagon CX
Hexagon CX is an AI calling agent built on Next.js and React for lead generation. Novatore built its conversational layer using generative AI to hold natural, context-aware conversations with prospects during outbound calling. More qualified leads and booked meetings, without adding headcount.
OUTCOME
Natural sounding, context aware conversation generation that replaced scripted call flows with adaptive dialogue.
Challenge: Scripted call flows broke down whenever a prospect's response veered off the predetermined path.
Solution: Novatore built generative dialogue that adapts to what the prospect actually says in real time.
Result: A calling agent that runs qualification conversations at volume without sounding rigid or automated.
Tools & Technologies
Technologies We Build With
We use proven, production-grade tools and choose the right model for each job based on accuracy, cost and privacy.
FAQ
Generative AI Development FAQs
What teams usually ask before building with LLMs.
Yes. We typically integrate through APIs and embed generative features directly into your current web or mobile application.
A custom LLM application typically costs $25, $49 per hour to build. A focused RAG assistant over one knowledge base sits at the lower end. Apps with several data sources, fine-tuning, private deployment and enterprise security cost more. Ongoing model usage and hosting are separate. We give a clear estimate after a free discovery call.
Yes, we evaluate hosted and open-source models based on your cost, latency, and data-privacy requirements.
Most use cases produce a working prototype within two to four weeks, depending on data readiness and complexity.
We design explicit fallback behavior — the system says so and routes to a human, rather than guessing.
We build in caching, batching, and model-tiering strategies, and give you a cost dashboard so spend stays visible.
Usually, your existing content or knowledge base, whatever the feature needs to ground its answers in, is scoped during discovery.
Your Go To Business Partner
Why Choose Us for Generative AI Development
An AI-Native technology partner
We combine strategy and delivery to build what actually ships, from roadmap to production
Teams Which Deliver
Strategists, engineers, and QA specialists work as one team to turn plans into software fast.
Full-stack technical depth
React, Next.js, Node.js, Flutter, and Laravel expertise, paired with modern AI and cloud tooling, covers the full delivery lifecycle.
US, UK, and Canadian Clients
We work inside the timelines, communication norms, and compliance expectations our North American and UK clients require.
Backed by 38+ shipped platforms
38+ products delivered from concept to production across HealthTech, FinTech, retail, and SaaS, with proven experience
We Are Just One Click Away
Build Generative AI Your Users Trust
Tell us what you want generative AI to do. We'll show you how to make it accurate, secure and ready for real users.
