Real estate AI solutions. Agents, RAG, valuation, fraud, listings
Custom AI for real estate operators, brokerages, and PropTech founders. Lead qualification agents, RAG-powered tenant chat, AI listing generation, AVM, fraud detection, owner reporting copilots. Owned by you, model-portable, cost-controlled.
GPT-4o, Claude 3.5, Gemini 1.5, Llama · Multi-model · No vendor lock
Trusted by 50+ operators, PropTech companies & digital-first brands
Built for these operators
Coliving / BTR operators
Multi-language tenant chat 24/7.
Real estate developers
Automating channel-partner lead qualification at scale.
PropTech founders
Shipping AI MVPs in 60–90 days.
Brokerages
Automating listing copy + photo classification.
Property managers
AI maintenance triage + owner reporting.
Investment platforms
AI deal-screen agents.
Everything you need, in one engagement
AI lead qualification agents
Qualify, route, book site visits via WhatsApp + email + CRM.
RAG-powered tenant + buyer chat
Grounded in inventory, FAQs, policies, multi-language.
AI listing generation + classification
Copy, photo tagging, amenity extraction.
AI valuation + comparables
Custom AVM or wrappers around ATTOM / CoreLogic.
Fraud + risk detection
Booking fraud, payment fraud, identity verification.
AI owner / investor reporting
Auto-generated reports, copilots for portfolio queries.
Document intelligence
Lease parsing, contract review, KYC document checks.
Search intelligence
Semantic search over inventory, neighborhood guides, market reports.
A predictable, weekly cadence
- 01
Discovery (Week 1)
Highest-value AI use cases against funnel + ops cost.
- 02
Data audit (Week 2)
Data quality, integration surface, privacy constraints.
- 03
Prototype (Weeks 3–8)
Working prototype on real data, accuracy bar.
- 04
Production build (Weeks 9–14)
CRM/CMS/payment integration, observability, cost guardrails.
- 05
Eval + tuning (Weeks 15–16)
Eval suite, A/B framework, human-in-loop tuning.
- 06
Operate (ongoing)
Monitoring, prompt updates, model swaps, quarterly reviews.
Opinionated for real estate
Foundation models
- OpenAI GPT-4o / GPT-4
- Anthropic Claude 3.5
- Google Gemini 1.5
- Open-weight (Llama 3.1, Mistral)
RAG + embeddings
- pgvector + Postgres
- Pinecone / Weaviate
- OpenAI / Voyage embeddings
Agents + orchestration
- LangGraph
- Vercel AI SDK
- OpenAI Assistants
- Custom state machines
Observability + evals
- LangSmith
- Helicone
- Langfuse
- Custom eval harnesses
Compliance
- GDPR
- SOC2
- EU/India data residency
- Encrypted at rest + in transit
Real engagements, real outcomes
- Case study
Coliving WhatsApp lead agent
Multi-language qualification + booking.
- +40% qualified leads
- 0 SDR headcount growth
- Case study
Multi-country developer RAG
Tier-2 partner FAQ in 4 languages.
- 65% deflection rate
- Case study
Brokerage listing AI
Copy + photo tagging at scale.
- 4–8 hours saved per listing
What clients walk away with
6–8 weeks
to working prototype on real data
+40%
qualified leads (coliving lead-qual agent)
65%
deflection rate (multi-language RAG support)
Guardrails
per-tenant + per-route cost guardrails baked in
Pick the tier that fits
AI Prototype
6–8 weeks
- One use case
- Working prototype on real data
- Accuracy bar + eval suite
- Most popular
AI Platform
10–14 weeks
- 2–3 use cases
- Production observability
- Cost guardrails baked in
AI Operating System
16+ weeks
- Custom fine-tuned models
- Multi-agent orchestration
- Embedded ops + tuning
Side-by-side, with the alternatives
| Capability | Noseberry | Generic AI agency | In-house build | Off-the-shelf SaaS (EliseAI etc.) |
|---|---|---|---|---|
| Real estate domain | 100+ ops | Hire-dependent | Niche | |
| Code + model ownership | 100% | Varies | Lock-in | |
| Time to first prototype | 6–8 weeks | 10–16 weeks | 16+ weeks | Days, limited fit |
| Production observability | Built in | Add-on | Custom | Black-box |
| Cost guardrails | Per-tenant + per-route | Varies | Varies | Per-seat |
| Data residency control | Your cloud | Varies | Vendor |
Real estate domain
- Noseberry
- 100+ ops
- Generic AI agency
- In-house build
- Hire-dependent
- Off-the-shelf SaaS (EliseAI etc.)
- Niche
Code + model ownership
- Noseberry
- 100%
- Generic AI agency
- Varies
- In-house build
- Off-the-shelf SaaS (EliseAI etc.)
- Lock-in
Time to first prototype
- Noseberry
- 6–8 weeks
- Generic AI agency
- 10–16 weeks
- In-house build
- 16+ weeks
- Off-the-shelf SaaS (EliseAI etc.)
- Days, limited fit
Production observability
- Noseberry
- Built in
- Generic AI agency
- Add-on
- In-house build
- Custom
- Off-the-shelf SaaS (EliseAI etc.)
- Black-box
Cost guardrails
- Noseberry
- Per-tenant + per-route
- Generic AI agency
- Varies
- In-house build
- Varies
- Off-the-shelf SaaS (EliseAI etc.)
- Per-seat
Data residency control
- Noseberry
- Your cloud
- Generic AI agency
- Varies
- In-house build
- Off-the-shelf SaaS (EliseAI etc.)
- Vendor
Frequently asked questions
Which models do you build on?
OpenAI (GPT-4o), Anthropic (Claude 3.5), Google (Gemini 1.5), open-weight (Llama 3.1, Mistral) where data residency demands. Model-portable agents.
Do we own the prompts and the model?
Prompts, eval suites, agent code, fine-tuned weights. Yours. Closed-source foundation models stay with provider; we set up your direct billing.
How fast can you ship a prototype?
6–8 weeks for single use-case prototype with real data.
What if our data isn't ready?
We gate the work. Discovery flags risks, scope a 4-week data prep sprint if needed.
How do you control costs?
Per-route + per-tenant cost guardrails from day one. Streaming, prompt caching, model fallback (GPT-4o → 3.5 → Haiku).
Model-portable 100+ real estate operators?
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