Generative AI that,
actually moves the needle.
We help you cut through the hype — from use-case discovery to model selection, PoC, and production rollout. Senior AI architects, sprint-based delivery, measurable ROI.
4.9/5 · 180+ teams shipping with our engineers · NDA on request
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— WHAT WE DO
Six engagements, one advisory team.
From opportunity mapping to LLMOps handover, we run the engagement that fits your maturity — never the other way round.
GenAI Strategy & Use-Case Discovery
Workshops to map, score and prioritize use-cases against ROI and feasibility.
Opportunity map
ROI scoring
Prioritization matrix
Model & Vendor Evaluation
Closed vs open-source, cost/latency/quality benchmarking before you commit.
GPT
Claude · Llama
Bake-off reports
PoC & Rapid Prototyping
Working prototypes in 2–4 weeks to validate value before full build.
RAG
Fine-tuning
Agents
Demo-ready builds
LLMOps & Production Readiness
Evals, guardrails, observability and cost controls before go-live.
Eval harness
Guardrails
Cost dashboards
- Agentic workflows
Advisory that ,
ships a roadmap , not just a slide deck.
Chunking, embeddings, vector DB design so answers stay grounded.
Use-case scoring
Build-vs-buy
Risk & governance
Change management
1
ASSESS
Map use-cases & data readiness
2
PROVE
Run a scoped PoC
3
SCALE
Harden, govern & roll out
Outcome
↑ 3.8x faster time-to-first-value ↓ 42% wasted PoC spend
14 years · 290+ bots
Built to,
decide not guess.
60+
Advisory engagements delivered
across 9 industries
14yrs
Years in business
founded 2012
95%
Engagement extension
clients renew or expand
<2wk
Kickoff time
brief → first standup
Capabilities & stack
Boring frameworks that
de-risk decisions.
We pick the model and stack for the use-case, not the hype cycle. Closed-source where ROI is clear, open-source where you need control. Always evaluated, never vendor-locked.
How we pick
01
Evals before rollout
Every model / retriever run through your task-specific harness before recommendation.
02
Cost & latency benchmarked
P95 latency and per-conversation/task cost captured upfront.
03
Provider-agnostic architecture
Provider-agnostic architecture
04
Governance by default
Prompt-injection defense, PII redaction, output filters baked into every recommendation.
Language models
GPT-4o
GPT-4.1
Claude Sonnet 4.5
Claude Opus 4
Gemini 2.5 Pro
Llama 3.1 / 3.3
Mistral Large
DeepSeek-V3
Qwen 2.5
Phi-4
Frameworks
LangGraph
LlamaIndex
Haystack
DSPy
Vercel AI SDK
Pydantic AI
Semantic Kernel
OpenAI Agents SDK
Crew AI
Bedrock
Vector & search
GPT-4o
GPT-4.1
Claude Sonnet 4.5
Claude Opus 4
Gemini 2.5 Pro
Llama 3.1 / 3.3
Mistral Large
DeepSeek-V3
Qwen 2.5
Phi-4
Observability & eval
LangSmith
Langfuse
Helicone
Braintrust
Ragas
TruLens
OpenLLMetry
PromptLayer
Voice & omnichannel
Twilio
Vonage
Deepgram
ElevenLabs
Whisper
WhatsApp Cloud
Slack
Teams
Intercom
Zendesk
Industries
GenAI advisory,
tuned for your industry.
Every industry has its own risk profile, regulation and data maturity. We bring playbooks, not blank slates — and tune the roadmap to where you actually are.
Healthcare
HIPAA-aligned data strategy & readiness audits
- Clinical documentation
- Summarization use-cases
- Patient-intake & triage copilots
Finance & Fintech
KYC-aware model evaluation & explainability review
- Statement/contract Q&A
- advisor copilots
- Model risk & governance frameworks
Retail & E-commerce
Personalized merchandising & content generation
- Support & post-purchase automation roadmap
- Cart & catalog
- enrichment use-cases
Logistics
Exception-handling & document-extraction use-cases
- Dispatch
- Routing copilots
- Data readiness for real-time GenAI agents
Engagement models
Pick how you want to
engage with us.
Three ways to work with us — all senior architects, all sprint-based, all measured against the outcomes we agree on before kickoff.
Fixed-scope
Advisory Retainer
Best for ongoing strategic guidance without a fixed scope.
- Monthly strategy sessions
- On-call senior AI architect
- Quarterly roadmap refresh
- Vendor & model re-evaluation included
Most popular
Fixed-scope
Engagement
Best for a specific initiative with a clear brief.
- Fixed scope, fixed price, fixed timeline
- Discovery → PoC → roadmap in 4–8 weeks
- 90-day post-launch support included
- Eval harness & handover documentation
Embedded
Staff Augmentation
Plug in vetted AI architects into your team.
- 48-hour shortlist of senior candidates
- Time-zone aligned, full-stack or specialist
- Replace or extend at any sprint boundary
- Direct lines to your eng manager
FAQ
The questions
everyone asks before kickoff.
Still curious? Ask Zia in the hero chat — or book a 30-min strategy call with a senior architect.
How long does a GenAI consulting engagement take, end to end?
A focused use-case discovery wraps in 2–3 weeks; a PoC with a working prototype is typically 4–8 weeks; a full roadmap with governance and rollout plan is 8–12 weeks. We share a fixed timeline + milestones after the discovery workshop.
Do you recommend closed models (GPT, Claude) or open-source?
Depends on the use-case, not our preference. Closed models (GPT-4o, Claude) usually win where quality and speed-to-launch matter most; open-source (Llama, Mistral, DeepSeek) makes sense when you need data control, cost predictability at scale, or on-prem deployment. We benchmark both against your task before recommending.
How do you evaluate ROI before we commit budget?
We score every use-case on impact, feasibility, and time-to-value during discovery, then validate the top picks with a scoped PoC before any full build. You get real cost/latency/quality numbers, not projections, before committing further budget.
Can you work with our existing data and infrastructure?
Yes — we audit your current data sources, pipelines, and infra first, then design the RAG/agent architecture around what you already have. We only recommend new tooling where there’s a clear gap, not by default.
What about security, compliance and governance?
Guardrails, PII redaction, prompt-injection defense, and audit logging are built into every engagement by default — not an add-on. For regulated industries (healthcare, fintech) we align the architecture to HIPAA, SOC2, or your specific compliance framework from day one.
How do you measure success post-engagement?
We agree on outcome metrics upfront — cost saved, hours reduced, accuracy lift, or adoption rate — and track them through the PoC and rollout. You get a dashboard, not just a final report.
Will the roadmap cover chatbots, agents, and internal copilots together?
Yes — we build channel-agnostic by default. The same conversation engine powers web embeds, WhatsApp Cloud API, voice via Twilio/Vonage, Slack and Teams. Channel-specific UX (quick replies, voice latency, file uploads) is handled per surface.
What does it cost?
Advisory retainers and fixed-scope engagements are priced by scope and duration, shared upfront after the discovery call — no surprise billing. Typical fixed-scope engagements range from a focused 2–3 week discovery to a full 8–12 week roadmap with rollout support.
Healthcare · HIPAA-ready since 2012
Let's build a GenAI worth funding.
Send your brief — a senior architect (not a sales rep) replies within 24 hours with a scoped plan, model recommendation and a fixed timeline.
- A 30-min discovery call with a senior AI architect
- Fixed-scope proposal with timeline & milestones
- Model & stack recommendation tailored to your data
- Reference architecture diagram (yours to keep)
- Two case studies from your industry
