How We Build Intelligent Operations
CellaNova builds agentic AI systems that turn messy inputs into structured, usable business outputs. We use a modular, best-tool-for-the-job approach—so solutions are reliable, adaptable, and designed for daily operations (not demos).
We treat AI as a system of specialized digital workers—not a single chatbot. Each workflow is orchestrated to plan, execute, and validate tasks like document intake, web research, scoring, and drafting. Outputs are structured with strict data rules so they’re clean, consistent, and ready to push into your systems.
How CellaNova Technologies Deploys
Speed and stability matter. We ship responsive web tools designed for daily use, backed by reliable hosting and infrastructure. That means fast performance, secure access, and a foundation that can scale as adoption grows—without rewriting everything six months later.
How We Keep Humans in Control
Automation should increase control, not reduce it. Every critical workflow includes a review step—so your team approves key outputs (drafts, scores, quotes, record updates) before anything is stored, sent, or synced. Human-in-the-loop isn’t a feature. It’s the safety system.
What This Enables (Outcomes)
RECRUITING OPS
Reduce sourcing + enrichment time from hours to minutes with structured profiles and searchable notes.
QUOTING + PROPOSALS
Standardize pricing logic and generate math-clean proposals without spreadsheet guesswork.
GRANT DISCOVERY
Turn funding research into an automated feed with scoring and draft-ready outputs.
Patterns Ready to Ship (Real Workflows)
Real workflows, built with guardrails and human review—so outputs are usable, not risky.
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Call Notes → CRM Update
Voice/audio → transcription + extraction → structured notes saved to CRM
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Quote Engine → Proposal PDF
Unstructured email/text → pricing logic → proposal-ready PDF
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Prospect Finder → Validated Profile
Geo-search → enrichment → verified contact + company profile
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Grant Radar → Draft Response
API trigger → eligibility + scoring → draft-ready response
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Instant Invoice → Ready-to-Send Output
API trigger → eligibility + scoring → draft-ready response
CellaNova Technologies Architecture
We build tailored agentic AI solutions designed to save time, complete tasks, and power efficiency. To do this, we move beyond simple text generation and build engineered systems that can see, hear, reason, and act.
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Layer 1: The Senses (Input & Perception) We ingest unstructured data from the real world. We use Groq for ultra-fast voice transcription, Gemini vision models to analyze video frames and images, and OCR to read PDFs and government forms.
Why it matters: capture reality without manual retyping.
Layer 2: The Brain (Reasoning & Orchestration) This is where the work happens. We employ CrewAI and N8N to manage multi-agent workflows. One agent might plan a task, while another uses SerpAPI to scour the web for data. We leverage OpenAI models for complex reasoning and drafting, ensuring high-quality narrative generation.
Why it matters: multi-step workflows run consistently.
Layer 3: The Guardrails (Validation & Logic) AI needs rules. We use Pydantic to enforce strict data models, ensuring that a "price" is always a number and a "date" is always valid. This layer prevents hallucinations and ensures outputs can be pushed directly into systems like Salesforce.
Why it matters: outputs are system-ready, not vibes.
Layer 4: The Memory (Data & Context) Our solutions learn from your history. We use RAG (Retrieval-Augmented Generation) pipelines stored in Pinecone or Chroma Vector DBs. This allows our agents to retrieve your past grant proposals, rate cards, or client notes to inform new content.
Why it matters: new work reflects institutional knowledge.
Layer 5: The Interface (Delivery) We deliver these tools in clean, fast web applications built on React, Vite, and Tailwind, often utilizing Radix UI for accessible design.
Why it matters: teams actually use it.
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Athletics: A coach uploads a voice note. Groq transcribes it instantly, and an extraction agent pulls out player stats to update a Supabase roster database automatically.
Skilled Trades: A plumber speaks job details. Our system uses SerpAPI to find real-time parts pricing from retailers like Home Depot, then calculates a final invoice.
Grant Writing: A cron job hits the Grants.gov API to find new funding, while a RAG agent checks your org’s eligibility profile to score the opportunity.
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1. Is my data private? Yes. We build tailored solutions. Your data lives in your instance or a dedicated environment (like Supabase or local vector stores), not in a public training pool. We design for security from the ground up using AWS standards.
2. Am I locked into one AI vendor? No. Our architecture is modular. Because we use orchestration layers like CrewAI, we can swap underlying models (e.g., from OpenAI to another provider) as technology evolves, future-proofing your build.
3. Can this integrate with my current CRM? Yes. We have experience integrating with major platforms like Salesforce and can build custom API bridges. For legacy systems without APIs, we build reliable CSV import/export workflows to bridge the gap.
4. How accurate is the AI? We aim for high accuracy but prioritize control. We build "Human-in-the-Loop" steps into every workflow. You review the draft, the quote, or the candidate profile before it becomes official record.
5. How long does a project take? While timelines vary by complexity, our modular stack allows us to move fast. We have launched fully responsive, integrated client sites in as little as 48 hours, though complex custom logic workflows typically follow a structured discovery-to-deployment roadmap.