01
Support automation — drafting responses, summarising tickets, routing by intent.
Fits you
GenAI audits · free
14 hrs
Saved per rep / week
3.2×
Proposals per rep
+22%
Win rate
Generative AI
GPT-4o is powerful. It's what you do with it that matters.
We've wired OpenAI, Anthropic, and Gemini into CRMs, ERPs, support flows, and document pipelines. The model is the easy part. The integration is where we earn our keep.
SaaSBFSILegalHealthcareE-commerceMediaSaaSBFSILegalHealthcareE-commerceMediaSaaSBFSILegalHealthcareE-commerceMedia
Who this is for
GenAI use cases that actually ship.
If any of these sound like you, we should talk.
02
Sales enablement — auto-generated proposals, personalised outreach, meeting notes.
Fits you
03
Document automation — contracts, invoices, HR forms, compliance filings.
Fits you
04
Internal knowledge — Q&A over company docs, onboarding, SOP generation.
Fits you
The proof
Eight GenAI patterns we've shipped to production.
RAG
Retrieval-augmented Q&A
grounded in your docs
Agent
Multi-tool workflows
ReAct / function calling
OCR+
Vision + text extraction
invoices, IDs, forms
Gen
Content generation
drafts humans edit, not vice versa
What we build
GenAI integrations we've shipped.
01
Customer support
Draft replies, summarise, classify.
02
Sales workflows
Proposal gen, email personalisation, CRM enrichment.
03
Document intelligence
Invoice OCR, contract review, form extraction.
04
Internal assistants
Q&A over your wiki, SOPs, HR docs.
ClientA B2B SaaSSaaS
Sales team saved <em>14 hours/week per rep</em> on proposal writing.
GPT-4 + Claude integration that drafts proposals grounded in client context pulled from the CRM. Reps edit; they don't write from scratch.
01
14 hrs
Saved per rep / week
02
3.2x
Proposals per rep
03
22%
Win rate increase
04
₹0L/mo
API cost vs. time saved
What it's like working with us
Our reps now spend their time with customers, not their laptops. That's the whole point.
FK
Farhan K.
Head of Sales · A B2B SaaS
SaaS · Bangalore
Tech stack
The tools. Chosen for your reasons.
10technologies in rotation
01OpenAI
02Anthropic Claude
03Gemini
04LangChain
05LlamaIndex
06Pinecone
07Weaviate
08Llama 3
09Mistral
10vLLM
Process
How we actually work.
06 stages
- 01
Use-case audit
Weeks 1-2Which workflows genuinely benefit from GenAI? Which are hype?
- 02
Prompt + model selection
Weeks 2-4Benchmark 3 models on your data. Pick on cost × accuracy.
- 03
RAG / agent setup
Weeks 4-7Vector DB, retrieval, tool calls, guardrails.
- 04
Integration
Weeks 7-10Plug into CRM / ERP / workflow, human-in-the-loop.
- 05
Cost + quality monitoring
Weeks 10-12Token usage, eval suites, hallucination alerts.
- 06
Continuous eval
Week 12+Weekly quality reports, drift alerts, model swaps when cheaper wins.
Questions
Answers, without the fluff.
Still have questions? Talk to us — we answer within a business day.
07common questions
01Which LLM provider should we use?
Depends on use case and sensitivity. Non-sensitive: OpenAI is still the benchmark. Sensitive: Claude or on-prem Llama 3. Cost at scale: Gemini or Mistral. We benchmark on your data.
02How do you control cost?
Cache common responses, use smaller models for classification, fall back to bigger only when needed. Cost is roughly 30-40% of naive usage if done right.
03What about data privacy / on-prem?
For regulated industries, we deploy Llama 3 / Mistral on your AWS / Azure. No data leaves your cloud. Slightly lower accuracy, zero compliance risk.
04How long does a typical engagement take?
Most projects run 10-18 weeks from kickoff to production launch. We share a milestone plan in week one and update weekly.
05Do you sign an NDA?
Yes. Standard mutual NDA on request, before the first technical conversation.
06Who owns the code and IP?
You do. Code is in your GitHub org from day one. All IP transfers unambiguously on delivery.
07What does your pricing model look like?
For v1 builds: fixed scope, fixed milestones. For ongoing work: monthly retainer with a defined team. We don't do time-and-material surprise billing.
Related
Explore more of what we do.
GenAI in real workflows, not demos.
A 45-minute audit of where GenAI could save your team real hours — not just impress a board meeting.
Free GenAI audit.