AI-First Software Agency

Build with models
that know
your domain.

Growmore Labs delivers fine-tuned small language models and autonomous AI agents for healthcare, finance, and research teams. Deployed on your infrastructure. Every inference logged.

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94.2%
Specialist-reviewed accuracy · gm-clinical-7b
284ms
Median inference latency · p50
<7B
Parameters · runs on a single A10 GPU
0
Data exfiltration events since founding
What we build

Two products. One mission.

We solve real-world problems in regulated industries by combining domain-specific intelligence with engineering discipline.

Fine-tuned Small Language Models
Domain-specific models under 7B parameters, trained on your data, deployed on your infrastructure. Measurably better than GPT-4 on narrow tasks — at 1/50th the cost per inference.
Autonomous AI Agents
Multi-step reasoning agents built on your fine-tuned models. They integrate with your existing tools, follow your compliance rules, and produce auditable decision trails at every step.
Compliance-ready by default
HIPAA, SOC 2 Type II, and air-gapped deployment support out of the box. Model weights versioned. Every inference signed with a tamper-evident manifest. We work where your data already lives.
Our process

From problem to production in 8 weeks.

No research theater. No 6-month pilot. We deliver a measurable, deployable model with documented accuracy — or we tell you upfront if we can't.

Problem scoping
We spend 2 days with your domain experts. We come out with a formal task definition, a ground-truth benchmark dataset, and a written go/no-go decision.
Data pipeline
We build a data extraction, cleaning, and anonymisation pipeline. You retain ownership of everything. We never use your data to train other clients' models.
Fine-tuning & evaluation
We run supervised fine-tuning on a base model between 1B–7B parameters. Every training run is evaluated against your benchmark. Hallucination rate is measured and published.
Deployment & handoff
We deploy to your infrastructure — on-prem, VPC, or air-gapped. We write the runbook, train your team, and stay on call for 30 days post-launch.
Industries

Where a general model isn't enough.

Regulated industries have zero tolerance for hallucination. We build in that constraint from day one.

Healthcare
Clinical decision support
Chart review, discharge documentation, prior-auth assistance. Trained on deidentified notes from partner health systems. HIPAA BAA standard.
94.2%
Specialist-reviewed accuracy · discharge summaries
Finance
Audit & risk intelligence
Document review, regulatory filing extraction, anomaly triage. SOX-compliant logging. Numerical accuracy verified against ground truth on every release.
3.1 min
10-K extraction time · down from 47 min manual
Research
Evidence synthesis
Systematic literature review, clinical trial screening, structured data extraction from unstructured papers. Citations preserved. Hallucination rate documented per release.
12,400
Papers triaged per hour · per reviewer equivalent
AI Agents

Agents that act. Not just answer.

Our agents are built on your fine-tuned model, connected to your tools, and constrained by your compliance rules. They produce a signed audit trail at every step.

Multi-step reasoning
Agents plan, execute tool calls, evaluate results, and retry — all within a single task session with no human in the loop.
Compliance guardrails
Every action is checked against your policy ruleset before execution. Violations are blocked and logged, not silently dropped.
Tool integration
Connect to your EHR, ERP, document store, or API. We build typed adapters — no prompt injection surface, no data leakage between sessions.
gm-clinical-agent · session #4812
Physician
Review chart 7741-B and flag any contraindications with the current medication list.
Agent
Retrieved chart 7741-B. Identified 2 active medications: warfarin 5mg, aspirin 81mg. Cross-referencing interaction database… found high-severity interaction. Confidence: 0.97. Flagging for specialist review per protocol CL-7.
Physician
Generate a summary for the clinical notes system.
Agent
Summary drafted and staged in Epic/Notes pending your sign-off. Audit log updated. Manifest signed at 14:32:07 UTC.
Case study · St. Alder Health
"We cut initial chart review from 14 minutes to 3. Accuracy against specialist review held at 94.2%. It's the first AI project our compliance team approved in under 60 days."
Dr. Nadia Rostova
Chief Medical Information Officer · St. Alder Health
Compliance

Built for teams who answer to auditors.

We don't add compliance as an afterthought. It's in the architecture: data contracts, inference logs, signed manifests, and a reproducible training pipeline.

HIPAA
BAA standard. PHI segregation enforced at the inference layer. No protected data leaves your network.
SOC 2 Type II
Audited annually. Reports available under NDA to enterprise clients.
Air-gapped
Full deployment in networks with no outbound internet. We ship the artifacts; you run them.
EU data residency
Inference and training infrastructure in Frankfurt, Ireland, or Paris on request.
Ready to solve a specific problem?

Book a 45-minute discovery call. We'll tell you in that call whether we can help — and if not, who can.

Book a discovery call See our PoC Lab