Ungrounded answers
Generic LLM responses that aren't grounded in your actual data lead to confidently wrong answers reaching real users.
Generative AI & LLM Solutions
Turn Language Models Into Products People Actually Use
Novatore Solutions builds generative AI features grounded in your real data, not confident-sounding guesses.We connect large language models to your content, documents, and workflows no drift, no fabrication.
Challenges
WHAT GETS IN THE WAY
CHALLENGES WE SOLVE
The gap between an impressive AI demo and a trustworthy production feature is wider than it looks.
Inconsistent tone and quality
Without proper prompt engineering and evaluation, generative features drift off-brand and produce unpredictable results over time.
Rising, unpredictable inference costs
Unoptimized generative features can become expensive fast as usage scales, with no visibility into what's driving it.
No fallback when it's wrong.
Teams launch generative features without guardrails or escalation paths for when the AI genuinely doesn't know the answer.
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Service
We Offer Generative AI & LLM Services
From a single AI-assisted feature to a full generative product layer, built to stay accurate to your data.
LLM-Powered Features
We embed generative capabilities like summarization, drafting, search, and recommendations directly into your web and mobile products.
Retrieval-Augmented Generation
We connect LLMs to your own documents, knowledge bases, and databases so responses are accurate and grounded in your data.
Prompting & evaluation
We design, test, and refine prompts and evaluation pipelines so outputs stay consistent and safe.
Fine-tuning & model fit.
Model choice hosted, fine-tuned, or open-source, based on cost, accuracy, and privacy.
Content Generation Tools
Tools for generating marketing copy, product descriptions, and creative assets at scale.
Custom Chat & Copilots
Branded chat experiences and in-product copilots, backed by your own content.
Process
How We Build Your Generative AI Feature
A three-phase engagement that moves from use case to a grounded, production-ready generative feature.
Phase 1: Define the Use Case
Timeline: 1-2 weeks
We identify the specific generative AI capability with the clearest business payoff and define success before building anything.
Deliverables:
- Risk and guardrail requirements
- Model recommendation
- Data source map
- Success metrics
- Use-case brief
Phase 2: Build & Ground the Model
Timeline: 3–6 weeks
We build the retrieval, prompting, and application layer, grounding outputs in your real content rather than general model knowledge.
Deliverables:
- Prompt library with evaluation
- Guardrail implementation
- Working prototype
- Retrieval pipeline
- Integration plan
Phase 3: Activate & Govern
Timeline: 6–8 weeks and ongoing
We ship the feature into production and continue tuning prompts, retrieval, and guardrails based on real usage.
Deliverables:
- Handoff documentation
- Cost and latency report
- Monitoring dashboard
- Refinement backlog
- Production release
Benefits
What You Gain
Grounded Accuracy
Outputs stay tied to your real content instead of drifting into generic or invented answers.
Faster Answers
Give customers AI-assisted search and support that actually reflects your product and policies.
Less Manual Drafting
Reduce the hours marketing, support, and operations spend writing first drafts from scratch.
No Vendor Lock-In
A model-agnostic architecture means you can swap providers as pricing and capabilities change.
Quality at scale.
Output quality doesn't degrade as usage grows — the thousandth request gets the same care.
Use Cases
AI Strategy Tailored To Your Industry And Business Goals
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
Our strategy engagements are grounded in the same tools our delivery teams use, so roadmaps reflect what's actually achievable with today's AI platforms.
FAQ
Frequently Asked Questions
What clients typically ask before building a generative AI feature into their product.
Yes. We typically integrate through APIs and embed generative features directly into your current web or mobile application.
We use retrieval-augmented generation, prompt evaluation, and guardrails to ground responses in your real data and tone.
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 Novatore
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
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Ready to put an LLM to work in your product?
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